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    ...for an expert in deep learning and mobile app development. The primary purpose of this venture is to develop a highly intuitive and interactive mobile application that uses CNN, MobileNet, and VGG architectures for melanoma detection. Key Deliverables: • Design and implementation of a robust and efficient deep learning model, capable of increasing the accuracy of melanoma detection. • The model should be built on platforms like Keras, PyTorch, and TensorFlow. Skills and Experience: • Extensive experience with deep learning and neural networks, particularly with CNN, MobileNet, and VGG. • Proficient in using Keras, TensorFlow, and PyTorch. • Proven track record in mobile application development, preferably experienced with creat...

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    I'm in need of an experienced Python developer to build an ultra-fast Convolutional Neural Network (CNN) model for a tabular dataset. The primary purpose of this model will be classification for a big dataset( 500MB) The output of the classification will be in 3 stages classification : - binary - 8 classes - 48 classes Key deliverables: - A highly efficient and fast CNN model - Clear documentation of the code and steps involved in the development process. - The dataset classification needs alot of balancing Preferred Experience and Skills: - Strong expertise in Python programming - Proven experience in CNN model development for data classification - Familiarity with Keras, TensorFlow, or PyTorch is a plus, although it's not mandatory since I ...

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    I'm looking for a proficient Python developer with strong expertise in Python and PyTorch to develop an ML model that effectively combines CNN (Convolutional Neural Networks) and ESN (Echo State Networks). The successful candidate will: - Have the ability to convert requirements into effective and efficient code. - Possess a strong understanding of machine learning principles particularly related to CNN and ESN. - Be comfortable working with smaller datasets (less than 1,000 samples). The ultimate goals for this project are: - Improved accuracy and performance of the model. - Building a customizable and reusable library that can save updated values for later use. Having experience in similar projects and a background in Machine Learning projects, especially with small...

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    I am seeking a skilled professional to develop a speech recognition system using deep learning with an emphasis on DSP projects. Requirements: - Strong understanding of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) - Proficiency in Python programming language - Expertise in digital signal processing, specifically Mel Frequency Cepstral Coefficients (MFCC). Both 1D and 2D extraction are acceptable. - Develop a system capable of recognizing 10 isolated words (one to ten) Ideal freelancer will have extensive experience in machine learning, deep learning and signal processing. Prior work with speech recognition systems will be a great advantage. Efficiency and attention to detail are valued in this project.

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    ...Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision. - Proven experience (3+ years) in developing and optimizing computer vision models, specifically in key point detection using OpenPose and other relevant technologies. - Proficient in machine learning and deep learning frameworks such as TensorFlow, PyTorch, Keras, etc. - Strong programming skills in Python and familiarity with C/C++. - Experience with GPU programming and optimization techniques. - Solid understanding of image and signal processing. - Demonstrated ability to work collaboratively in a team environment and communicate effectively. - Creative problem-solving skills and a passion for innovation. What We Offer: - A dyna...

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    I'm seeking a Python developer with a strong understanding of Convolutional Neural Networks (CNN) and Echo State Networks (ESN). The task at hand is to develop a model that uses both CNN and ESN for classifying satellite images. Key Project Requirements: - Develop an innovative hybrid image classification model using CNN and ESN. - The model will classify satellite images to identify different types of terrain. - Additionally, the model should create a customized library that can store the weight adjustments and biases for later implementation. - Resourcefulness in gathering a dataset of labeled satellite images for training the model is expected, as currently, a prepared set does not exist. Ideal Freelancer: - Proficient in Python and deep learning libraries -...

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    I'm seeking an experienced freelancer to implement four deep learning models for deepfake image detection. The selected models should include: - Convolutional Neural Network (CNN) - Generative Adversarial Network (GAN) - Long Short-Term Memory (LSTM) - A fourth model of your recommendation Three datasets will be used for training and validation. I prefer the usage of CelebA, the Deepfake Detection Dataset (DFD), and UADFV, but I am open to other high-quality image datasets. The analysis of these models should include: - Accuracy evaluation - False positive and false negative analysis - Comprehensive comparison of model performance The ideal candidate will have extensive experience in deep learning, particularly with CNNs, GANs, and LSTMs. Proficiency with image dataset han...

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    I'm seeking a professional with a solid understanding of SEO and established connections with popular news websites such as ABC News, Al Jazeera, BBC, Bloomberg, BuzzFeed News, CNN, Coda Media, The Daily Telegraph, Deadline Hollywood, The Economist, Financial Times, Forbes, Gizmodo, HuffPost,The Independent, The Indian Express, The Intercept, Los Angeles Times, MSNBC, National Geographic, NBC News, The New York Time, Newsweek, Reuters, Time, USA Today, The Wall Street Journal, The Washington Post, My key objective lies in substantially increasing website traffic. I need the backlinks to be permanent and placed on these particular news sites to target the general public. Therefore, the freelancer must have experience in these platforms and know the correct placement along wi...

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    I'm currently working on a project involving Machine Learning and Deep Learning, focusing on Meta Learning and Concept Drift. Our objective is to assess water quality using Meta Learning techniques. I've attached the base paper along with its GitHub repository link containing the code. In the GitHub repository, we have two detectors - one based on CNN and another on RNN. We're looking to expand our models by adding two more variations. Additionally, we have our own datasets related to water quality that we intend to utilize for this project. We're interested in collaborating with you for this task. Please let us know if you're available and willing to assist us. If so, we can discuss the details further and proceed with the project. GitHub Link :

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    I'm looking for a capable developer well versed in the Python programming language along with a deep understanding of Convolutional Neural Networks (CNN) and image processing libraries such as dlib. The main objective of the project encompasses: * Detecting lips from numerous images, * Implementing HoG SVM to save frames of various emotions like smiling and anger, * Applying it on CNN for both training and testing in a Jupyter Notebook interface. Key bidders should be proficient in: * Python Programming: Dlib, CNN, and Jupyter notebook are platforms you should be familiar with. * Machine Learning: Proficiency in CNN model training, testing, and tuning is crucial. * Image Processing: Ability to work with large datasets of images and extract the specific ...

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    We need a Python Developer with expertise in Deep Learning to Develop a Model with Code, specifically targeting Object Detection. We will discuss more on chat box.

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    ...learning model to undertake classification with an instance segmentation method. A blend of both pre-trained and custom models will be employed for this unique task. Key specifications include: 1. Application of CNN, Transformer, Mask R-CNN methods. 2. Usage of both pre-trained and bespoke models specifically optimized for our images. 3. The core objective is object recognition, specifically focusing on 'Core' objects within our provided images. The ideal candidate should possess a strong understanding of: - Deep Learning concepts and implementation. - CNN, Transformer, and Mask R-CNN. - Customizing or adapting pre-trained models. - Experience in object recognition projects, particularly those pertaining to 'Core' objects. If you align...

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    Project Title: Forbes, CNN, SKY News, Al Arabia etc connections i need to grow personally I am seeking specific connections with Forbes, CNN, and SKY News to help me grow personally. Skills and Experience Required: - Strong networking skills to establish connections with influential individuals in the media industry - Familiarity with Forbes, CNN, and SKY News and their respective audiences - Excellent communication and persuasion skills to pitch myself for interviews and features Exposure: - I am specifically seeking interviews with these media outlets to gain exposure. Desired Outcome: - The desired outcome from this exposure is to increase brand awareness for myself and my personal brand.

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    I am seeking an experienced individual who can assist me in creating a Deep Learning Model. Requirements: -Proficiency in various deep learning frameworks such as TensorFlow, PyTorch, or Keras. -Knowledge of image recognition, natural language processing, and time series forecasting in deep learning. -Successful freelancers should include past work experiences, detailed project proposals, and any relevant experience in their applications. Please frame your application with encountered challenges and the solutions provided in past projects. Demonstrating problem-solving capability is crucial. Expertise in the above-mentioned deep learning framework is preferred but not mandatory as the specific framework to be utilized hasn't been decided yet. This project will involve pro...

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    I have a developed a model using cnn + attention and now I am looking for residual vision transformers model . I already implemented with one model so I have data cleaned and data managed . Also I have residual vision transformer script which is similar to my needs , only help needed is it should be adjusted as per my datasets .

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    I am seeking a freelance developer to create an innovative hybrid system. We possess a unique dataset that includes two types of tennis training videos: one recorded with a conventional frame-...retina or DVS, offering a more detailed and continuous view. In the frame-by-frame videos, the detection and tracking of the ball face challenges, as the ball is not always clearly visible, leading to inaccurate detections by conventional neural networks (CNN). However, in the videos captured with retina technology, the ball is consistently visible with high clarity. The aim is to develop a system that integrates both types of videos to ensure precise detection and tracking of the ball in 100% of the frames, turning to the retina video when the CNN fails to detect the ball in the con...

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    I have project to implement neural networks in C++. Important: You only have to use Visual Studio and no other extensions or tools to be used for this. Key Responsibilities: - Implement the designated CNN architecture - Apply this model to provide solutions specifically for semantic segmentation Ideal Skills and Experience: - Proficiency in C++ - Prior experience with Neural Networks, particularly Convolutional Neural Networks - Deep understanding of machine learning principles and practices The successful candidate will be required to work directly from the chosen model, implementing it in a way that best fits the problem domain.

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    My project requires the application of Convolutional Neural Networks (CNN) in C++ specifically aimed at semantic segmentation. I already have a specific CNN architecture in mind and I am seeking assistance to help implement it. Important: You only have to use Visual Studio and no other extensions or tools to be used for this. Key Responsibilities: - Implement the designated CNN architecture - Apply this model to provide solutions specifically for semantic segmentation Ideal Skills and Experience: - Proficiency in C++ - Prior experience with Neural Networks, particularly Convolutional Neural Networks - Knowledge of Semantic Segmentation - Deep understanding of machine learning principles and practices The successful candidate will be required to work directly f...

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    I'm seeking a capable developer to create a web-based system for accident and license plate detection with a comprehensive alert system. Key features should include: - Ability to d...Requirements - I need a project on Accident and License plate detection with alert system. It should be able to detect accidents in real time and send alerts with the detected license plate details of vehicles involved in accidents. Accidents that have to be detected include car collisions, flipped cars, cars that have caught fire and two wheeler accidents. For accident detection use - YOLO, SSD, Faster R CNN and compare performance of various models. For License Plate use - Open ALPR/Easy OCR For Alert System use - DEEP SORT / FCM I need everything to be integrated. (Developing an integrated U...

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    I am looking to develop a Convolutional Neural Network (CNN) model that can accurately classify 4D MRI scan images. The primary purpose of this project is image classification. Details: * The model should specifically be capable of classifying different types of medical images. * The main focus will be on MRI scans, as these form the bulk of the images that need to be classified. Skills & Experience: * Significant experience in CNN model development is essential. * The ideal candidate possesses a strong understanding of image classification techniques applicable to 4D MRI scan images. * Prior exposure in medical image analysis, particularly with MRI scans, is highly beneficial. * Knowledge of 4D image processing will greatly enhance your chances of success in this pr...

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    I'm seeking a skilled freelancer to undertake a deep learning project, spec...undertake a deep learning project, specifically focusing on Convolutional Neural Networks (CNN). The project requirements include: - Writing code in Python, showcasing strong proficiency in this language, as well as an apt understanding of deep learning and CNN concepts. - The CNN model should classify medical images. Therefore, experience in healthcare informatics or a related field, particularly with medical imagery and its characteristics, could be a significant benefit. - The completed code should successfully train the CNN model to accurately distinguish and classify specific categories within the provided medical images. Interested freelancers should possess experience in i...

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    ...Learning/Deep Learning: image classification and analysis (e.g., CNNs, ResNet, InceptionV3, EfficientNet). • Computer Vision: feature extraction, object detection, and image processing. • Data Science: ability to work with large datasets, including data cleaning, augmentation, and analysis. Knowledge of statistical analysis and predictive modeling. Tools and Technologies: • Python, TensorFlow, PyTorch, Keras, and OpenCV. • Dataset Handling. Experience in managing and processing large and diverse datasets • AI Model Optimization, such as model pruning, quantization, and distillation. • Data protection knowledge such as GDPR and know how to implement privacy-by-design principles. Project Overview Objectives • Customization and Enhancement: Ada...

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    I am currently a novice in Convolutional Neural Networks (CNNs), seeking an experienced tutor who can guide me through practical applications. What I need: - Comprehensive understanding of practical uses of CNNs - Clear examples and explanations on applying CNNs in real-world situations Ideal Skills and Experience: - A thorough and practical knowledge of CNNs - Prior experience in teaching or tutoring deep learning, particularly convolutional neural networks - Ability to explain complex concepts in a simple, understandble manner

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    I require an expert-level computer science professional to collaborate on an epilepsy-focused project using deep learning models. Key components include: - Expertise in utilizing Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and RESNET-152 deep learning models. - Experience with interpreting Electroencephalogram (EEG) data. - Ability to achieve a fast turnaround as the project completion is desired ASAP. The ultimate goal is the efficient classification of epileptic seizures with the assistance of EEG data, utilising the strengths of CNN, LSTM, and RESNET-152 models. Your significant experience in these areas will greatly enhance the successful execution of this project within the desired timeframe.

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    project involves applying federated machine learning concept with lstm , cnn and random forest algorithm

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    I'm looking for an experienced Python developer, proficient in TensorFlow and Keras, to create comprehensive notebooks covering specific machine learning concepts. Key focus areas should include: - Convolutional Neural Networks (CNNs) - Various Feature extraction techniques All work should be accomplished at a comfortable pace with no imposed time limit. Your commitment to quality and accuracy is far more crucial to me than speed. The end result should be an easily understandable and reusable code that clearly explains the above-mentioned concepts, suitable for learning purposes. Programming expertise in Python as well as proficiency in TensorFlow and Keras is a must.

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    ...samples). Skills and Experience: - Extensive experience in building, testing, and optimizing Deep Learning Models. - Proficiency in Python, with knowledge of machine learning libraries and packages. - Proven track record in using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Transformer Networks. - Prior work with healthcare datasets is a plus. Responsibilities: - Retrieve and preprocess the Kaggle dataset to make it suitable for training a deep learning model. - Implement a deep learning model utilizing CNN, RNN, and Transformer Networks to predict Pulmonary Fibrosis. - Ensure that the model accounts for all relevant nuances and intricacies in the data. - Optimize the model for efficiency and accuracy. - Documentation of the procedure, resu...

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    RESPONSIBILITIES • Designing, developing, and imple...have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, GANs, LLMs. • You are proficient in Python and have experience with machine learning/LLM/Gen AI libraries and frameworks such as TensorFlow, PyTorch, Keras, Langchain. • You have a working knowledge of R. • You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. • You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. • Minimum 2+ years of experience in NLP,...

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    ...core functionality of the program should be image recognition. The successful freelancer is expected to create a robust, efficient and accurate CNN system capable of identifying and classifying images. - The program is expected to run on a Linux operating system, so optimal functionality on Linux is paramount. - While I'm open to libraries or frameworks that may aid in the development of the program, it’s important to primarily use C++. Ideal candidate: - Extensive experience in C++, specifically in machine learning contexts. - Knowledge of Linux operating systems and the ability to optimize programs for this platform. - Prior experience in creating CNN programs, particularly for image recognition. - Familiarity with any additional libraries or frameworks tha...

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    We want to improve the a...final predicted depth maps by developing a high-resolution diffusion model. This will enhance the predicted depth maps from the Convolutional Neural Network (CNN) model we are currently using. • Purpose & Goals Our main goal is to achieve more precise depth estimations from images. We believe incorporating a diffusion model as a second model after our current CNN model will help us meet this objective. • Data The project will deal exclusively with image data. These images will be used for creating depth estimates. • Ideal Candidate We are looking for freelancers with a strong understanding and experience in diffusion models, CNN models and image-processing techniques. Experience working on depth estimation problems wo...

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    I want to build and train a CNN model by giving input spectograms/chromagrams for emotion recognition.I have spectograms/chromagrams.

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    I'm looking for an expert to help with a dual-focused project, analyzing crowd density and estimating the gender of individuals. The primary task involves the use of still images to accurately estimate the density and the number of males and females in the image using an AI model like cnn, mcnn, unet,etc whichever gives the best result . You should be equipped with the right tools and resources to complete analysis with accuracy and precision. The output should include: - Creating a Heatmap of crowd distribution - Classification report, roc curve, accuracy curve and confusion matrix - Calculating the number of people in each image - Determining male female count of each image The output should be shown in a different webpage. The webpage should have an option to load an...

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    ...through CNN. - **Key Features** - **Real-time Alerts:** The deployed interface should prominently feature a system for real-time alerts. This is crucial for immediate response to criminal activities. - **Camera Compatibility:** The system must be accommodating to both single and multiple CCTV setups. It should capably handle varied camera inputs without compromising performance or effectiveness. - **Crime Detection:** Our CNN model is trained to detect instances of theft, violence, and vandalism. The front-end should accurately represent these variety of criminal activities with distinct alert mechanisms. The ideal candidate should have a background in developing for security or surveillance systems, and a proficient understanding of integrating front-end...

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    I'm in need of an expert Python developer who can create a sophisticated application for macOS. The application must include a graphically engaging user interface enabling real-time object detection. Key responsibilities and requirements are: - Advanced proficiency in Python. Previous experience with GUI development is vital. - Fluency in object detection algorithms, especially YOLO, R-CNN, and SSD. Specific experience with implementing these algorithms in Python is highly desired. - Familiarity with macOS is necessary as the GUI will be specifically developed for this platform. I expect a polished, professional, and highly functional GUI application with seamless real-time object detection capabilities. This is not a beginner-level task and requires specialist knowledge a...

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    ...• Format: The essay must be written strictly in APA format. • Quality: Despite the urgency, high-quality writing and professionalism are expected throughout the essay. Cite all reference material (data, dates, graphs, quotes, paraphrased words, values, etc.) in the paper and list on a reference page in APA style. References must come from sources such as, scholarly journals found in EBSCOhost, CNN, online newspapers such as, The Wall Street Journal, government websites, etc. Sources such as, Wikis, Yahoo Answers, eHow, blogs, etc. are not acceptable for academic writing. Ideal skills: - Experience in writing academic papers - Deep understanding of APA formatting - Ability to conduct quick and thorough research - Outstanding English writing abilities - Proven track re...

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    Review Paper CNN Pruning Less than 15% similarity 14-16 days turnaround Journal format 1500 USD To be paid on 16th day

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    I need an experienced developer with a robust understanding of Swift, image preprocessing and Convolutional Neural Network (CNN) implementation. The project will involve: - Using Swift to pre-process an image dataset. This will require skills in image resizing, normalization and data augmentation. Part of the task will be to resize images to meet specific dimensions (500x700 pixels). - Applying a CNN algorithm to my Swift app. Proficiency in Swift language, understanding of image preprocessing techniques and experience in CNN implementation is ideal. The ability to effectively implement: user authentication, in-app purchases, and push notifications would be highly beneficial for the successful completion of this project. I already have a project and worked on it. (...

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    ...analyzing video content. The tool must be able to process live-streamed and pre-recorded videos, extract frames, and utilize a trained model to identify malicious or inappropriate content based on predefined standards. Key Responsibilities: - Developing a CNN model to scrutinise video content - Extracting frames to check for inappropriate content - Implementing a reporting mechanism for videos containing inappropriate content, so they can be flagged for manual review. Ideal Skills: - Experience with Machine Learning Algorithms, particularly CNN - Understanding of video handling and frame extraction - Ability to design a warning system to flag inappropriate content Targeted inappropriate content includes offensive language, violent imagery, and adult content. Therefore, ...

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    I'm looking for a skilled professional who can develop a Convolutional Neural Network Long Short-Term Memory (CNN LSTM) Model. T Key details: - CNN LSTM Model for Accuracy - It should handle audio data successfully and accurately. - The model needs to perform sentiment analysis, text classification, and named entity recognition on the text data it handles. Ideal Skills and Experience: - Strong knowledge and expertise in CNN LSTM Models. - Experience with image recognition and audio data. - Proficiency in sentiment analysis, text classification, and named entity recognition. Your technical prowess in developing complex models will be a significant factor in the project's success. If you thrive on challenge and are excited about advancing image recognitio...

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    As a new enterprise, we're delving into AI and machine learning, focusing on the accuracy of (LSTM) and Convolutional Neural Network (CNN) models. With this project, our main goal is to comprehend these models' reliability and efficiency, particularly targeting professionals in the industry. We are in search of freelancers with: - Extensive experience in designing, developing, and evaluating LSTM and CNN models - Proficiency in machine learning and AI - Strong knowledge of model accuracy metrics - The ability to effectively communicate complex concepts to a professional audience Please, include in your application: - Your experience with LSTM and CNN models - Specific examples where you improved model accuracy Looking forward to your applications.

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    ...invested in harnessing the potential of neural networks, I'm looking for a talented individual to augment the accuracy of my CNN and ConvLSTM model. My primary target is to achieve an improved accuracy of 80-90% and above. Here's what I'm hoping you bring: * Proficiency in fine-tuning CNN and ConvLSTM models * Exceptional understanding of neural network optimization * Ability to work with sep28K, an audio dataset Tasks: * Optimize the current model structure for improved accuracy * Implement the necessary changes while ensuring an efficient execution process * Validate the enhancements using the sep28K dataset The successful bid will demonstrate a strong understanding of CNN and ConvLSTM models and their practical application while being able to ...

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    You have to do Section B and Section C of the Assignmnet i.e. -Section B (Scratch Implementation) : Neural Network Implementation -Section C (Algorithm implementation using packages) : Multi-Layer Perceptron (MLP) Implementation on SVHN Dataset and do all their subparts accordingly

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    I'm looking for a skilled machine learning engineer ideally experienced with Convolutional Neural Networks (CNNs) to help build an image detection model for plant diseases, specifically fungal diseases. Requirements: - Develop a CNN model for detecting fungal diseases in plants. - Utilize image datasets which I will provide. Experience handling and preprocessing image data is a must. - Optimize the model to ensure high accuracy in disease detection. - Provide comprehensive documentation of the model architecture, training processes, and performance metrics. Previous work in agricultural technology, botany, or related fields would be a major plus but not strictly necessary. Strong proficiency in Python and TensorFlow or similar machine learning frameworks is essential for th...

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    I'm looking to have deep learning utilized for human pose estimation in my project. The pu...movements - Identifying key joints - Analyzing posture Both real and synthetic images will be used for this purpose. This is a wonderful opportunity for someone skilled in handling a variety of data types for pose estimation. It is imperative for this project that the expert I hire is proficient in Convolutional Neural Networks (CNN) as it is my deep learning model of preference for this task. Applicants should have proven experience in developing and utilizing CNN models and be comfortable dealing with real as well as synthetic data sets. This project offers a chance to build a cutting-edge model in a multi-faceted and challenging project area. I invite all suitable candidat...

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    ...Convolutional Neural Network (CNN) aimed at vision-based driving. Project Scope: - Dataset: I didn't provide a specific dataset for this project. Therefore, the successful candidate should assist in identifying or creating an appropriate dataset. Your ability to guide the process of dataset selection/creation will be beneficial. - Purpose: Contrary to the question being skipped, keep in mind that the CNN should be designed primarily for autonomous driving tasks such as object detection and lane keeping. Proficiency in training AI in these aspects will be a strength. - Model Architecture: Unsure of the specific CNN model architecture, I need an expert who will either propose a fitting CNN architecture or help design a new custom one. A strong understa...

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    ...experience in LSTM models. - Understanding of IoT security challenges and familiarity with common security threats. - Experience in conducting research and development (R&D) projects, preferably related to IoT. - Ability to simulate IoT environments and anomalies for model training and testing. - Knowledge of programming languages and tools relevant to machine learning and IoT (e.g., Python, TensorFlow, Keras). - Strong analytical and problem-solving skills, especially in anomaly detection and security. ### Project Goals: - To develop an LSTM model that can accurately identify security anomalies in simulated IoT environments. - To contribute to the body of knowledge in IoT security by addressing the lack of efficient security anomaly detection systems. This project is an ex...

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    ...application that leverages computer vision technologies for gesture recognition. This project involves the classification, detection, tracing, and segmentation of specific gestures - namely hand waving, and an interesting challenge, the detection of street banner installation activities. I need a summary of the application field, data type, data no, and details for each dataset; framework (tensorflow, keras, pytorch); architecture (ex. yolo, ResNet, pre-trained); MI output results, score and reports, in addition to the actual data db. ; **Core Project Requirements:** - The system must proficiently identify and classify 'hand waving' gestures and activities akin to 'street banner installations'. - It needs to run seamlessly on both Windows and Linux platforms, ...

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    I am looking for a skilled developer to create a web application that leverages Django for the frontend and utilizes OpenCV and CNN for the backend. The main goal of this application is to identify counterfeit medicines, helping to protect consumers from potential harm. **Key Requirements:** - **WebApp Functionality:** Users should be able to upload images of medicines they wish to verify. The application will then analyze and compare these images to the original images in the database to determine if the medicine is authentic or counterfeit. - **Report Generation:** After analysis, the system should indicating whether the medicine is authentic or counterfeit by giving a percentage of the accuracy. The purpose is to provide a straightforward, user-friendly response. **Ideal Skills...

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