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    2,833 neural network project jobs found, pricing in USD
    Help me write something 6 days left
    VERIFIED

    I need you to write a research article. convolutional neural networks

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    classify a map image where i need to classify vegetation, cities and water, using a vectorial support machine or neural network, also i need a confusion matrix and the validation.

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    ...number of strokes, average distance from image center, etc. This approach gives the recognizer more control over the properties used in identification, compared with a neural network accepting as input the pixels themselves only, even though extracting more features would require additional processing time. Considering combinations of features/inputs/agents

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    Neural network project 6 days left
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    I need someone who can implement neural network of the paper below and also results

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    I need someone to train an LSTM model for me for crypto market price predication. The model should be able to predict the price/trend of t...accept price, volume, momentum, etc as the features. Some examples [login to view URL] [login to view URL]

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    Data Scientist 5 days left

    ...large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests

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    ...shown in the pdf document. Infact, you can perform segmentation with EM algo and also use any machine learning algorithm( neural network, cnn, non parametric method). In addition, you need to use any library(for EM, cnn, neural network etc) and a programming language of your choice. You need to also write a report to explain the principle of your segmentation

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    Cuda c code with c kernels​ to make image classification using a neural network.

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    neural nets project 3 days left
    VERIFIED

    I want any idea implement with nueral network but the result should depends on paper.

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    I am looking for a IT Developer who can help me in my research to build a neural network program.

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    Hello, I am looking for a machine learning/neural networks specialist familiar with similarity learning to build a software system capable of generating unique data (in this case new music album titles) that is thematically relevant and grammatically correct. Ideally the software would (1) analyse an extensive and existing dataset (several thousand

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    You are going to analyze the data of a retail store. Analyze it and predict what can be done with thi...store. Analyze it and predict what can be done with this data. Tools: Jupyter Notebook Pyhton Algorithms:(Choose any of these) kNN, Support Vector Machines, Decision tree, Neural Network, Linear regression. Deliverable: A complete Notebook(.ipynb)

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    i want to get an artificial intelligence project in which when i could recognize the digit (0-9) and throws an exception when it is not a digit. It should be done with BNN with delta rule

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    You need to download healthy person E...need to find P and Q peaks of ECG signal using Wavelet Transform. Normally, this interval should be between 120 and 200 msec in the adult population. You need to design neural network which will classify healthy person data and person having First degree AV block data and give error graphs and Confusion Matrix.

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    Cuda c code with c kernels​ to make image classification using a neural network.

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    I need someone who can make neural network to [login to view URL] more details

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    ...recognition system using Local Binary Pattern as feature extraction method and K-Nearest Neighbor as classification algorithm. So I would like to do the same work by using Artificial neural networks (ANN) as machine learning classification algorithm. In base paper the testing result on this system shows that the Local Binary Pattern Variance method can recognize

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    Need help in a machine learning and neural network project

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    I need someone who can implement a paper with nueral networks , fuzzy logic, and model using Matlab ,Please make offer for more details.

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    You will create convolutional neural network for online database and fine accuracy of classifier then u will adding some poise it means exposure an attack to degregate classifier performance

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    Hello freelancers, This project is for tommorow 11 Nov and is for aprox $40AUD as most of the project is completed and I would like soe minor fixes What I want: 1. in each epoch training cycle display/print the outputs=f(inputs) function as i will need this to enter in simulink and get the error value of this cycle. 2. be able to enter at each cycle

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    ...Keras Skill Description: Keras is an open source neural network library that is written in the Python language. It should be noted that it is capable of running on top of other frameworks/software libraries, such as Microsoft Cognitive Toolkit, TensorFlow, and Theano. Keras as a neural network helps to optimize a lot of functions, and is used to

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    Project title- Emotion detection using speech recognition and facial Emotions to be detected- Happy ,Sad, angry , nervous Parameters to be included-zero crossing rate ,mfcc and energy level. Scope-Based on a given speech input we have to extract above three parameter then we have to detect emotion using neural network. Face recognition :- We have

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    Using the data from previous years, develop a neural network algorithm to predict crime count in St. Louis metropolitan. For instance, predict the number of vehicle theft for next month in the Compton Height area.

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    Using the data from previous years, develop a neural network algorithm to predict crime count in St. Louis metropolitan. For instance, predict the number of vehicle theft for next month in the Compton Height area.

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    Hi there I'm looking for experts in deep learning AI , Tensorflow, Convolutional Neural Network, Artificial Neural Network capable of creating data capturing applications on windows platforms for employees and various 3rd party applications.

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    ...with Python, Scala or LISP. Apply AI/Machine Learning technology to solve real-world problems. Machine Learning and Artificial Intelligence (AI) techniques and tools such as neural networks, regression, classification and clustering. Manipulate high-volume, high-dimensional data from varying sources to highlight patterns, anomalies, relationships and

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    I want somebody who is extremely good in English to help me write a technical report about the Artificial Neural Network Devices. It is not a report regarding the general information you find on Google. It has to be more scientific and including all the devices discovered so far in this field. In the attachment you will find a couple examples of scientific

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    I have a small data set with 10 input and 1 output variables. I expect to get a good fit with this data. What happens I get a reasonable fit with the training data set, but it does not work well with the test data. For this dataset, I expect good fit with both the training and the test data. Please bid on the job if you could help me. The code is written in R and working. My budget for this is...

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    Hope you are doing well! This project is on machine learning so one must have good machine learning back ground. The task is to segment different tumor regions using a "Resnet" (Convolutional Neural Network) Architecture. I have already implemented the problem on CNN architecture using Keras and tensor-flow. All relevant material and code will be provided

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    Speech Recognition process using Neural Network approach.

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    I want someone to implement Elman Recurrent Artificial neural network in Matlab. I will provide the details via pm. please bid if you can. Thanks

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    In this project, we intend to first introduce RBF, PNN and ANFIS algorithms (artificial neural networks algorithms and fuzzy logic) and then examine the output of these algorithms on real and artificial databases. Artificial Neural Networks A report is needed over 100 pages

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    we need to find R peaks of each signal using discrete wavelet transform And use Deep nueral which and give this both data as input of neural network and our network should effeciently classify difference between data of healthy person and data of person having first degree AV block disease.

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    ...from this data file Then we need to find R peaks of each signal using discrete wavelet transform And use Deep nueral which and give this both data as input of neural network and our network should effeciently classify difference between data of healthy person and data of person having first degree AV block disease. This is information about PR interval

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    I want to build a fully connected Deep Neural network (5 hidden layers) using Tensorflow. Data set contains 4502 records (training & testing input for DNN) provided in MS Excel file, each row contains 801 real number and represents 1 record (input) for DNN (( 801 nodes for input – 5 hidden layers – 2 nodes for output )) Input Record length (for each

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    I want a software similar to [login to view URL], with some changes ( for example: add neural networks, expected goal, Poisson, Dixon)

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    Hello I need to detect R peaks then find PR interval of signal , I already have data of ECG s..., I already have data of ECG signal you can check the files below . And for detection of disease I need to use discrete wavelet transform(DWT) and then I need to use neural network for accuracy. all files are attached Please make offer for more details.

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    Hello I need to detect R peaks and I need to find PR interval of signal , I already gad data of ECG you can check the files below . And for detection...interval of signal , I already gad data of ECG you can check the files below . And for detection of disease I need to use discrete wavelet transform and then I need to use neural network for accuracy.

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    Hello I need to detect R peaks and I need to find PR interval of signal , I already gad data of ECG you can check the files below . And for detect...interval of signal , I already gad data of ECG you can check the files below . And for detection of disease I need to use discrete wavelet transform and then I need to use neural network for accuracy.

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    I need a neural network to predict financial bankruptcy probability by using 30 financial rates of 100 companies for last 20 years.

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    we need to detect R peaks as In reference ( you can check files below and aslo one picture ) and then we need to find PR interval of signal as I sent y...sent you figure previously from which we can decide disease of a patient. And for detection of disease we need to use discrete wavelet transform and then we need to use neural network for accuracy.

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    ...and as they fly around they start to form the structure of a brain. Then a smart phone begins to fly towards to the brain and smashes into the brain and creates a sort of 'neural explosion'. The image i am trying to express is one that the phone is destroying the brain. Dark colours for the background. The rest in tones of blue. Background music

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    we need to extract features from this live ecg signal for detecting [login to view URL] main thing is that we need to detect R peaks from ecg si...find PR interval as signal and from the value of that PR interval we can decide whether the patient has first degree av block disease or not. And at last we need to use neural network to find the accuracy of this.

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    You have to create simple Neural Network Classıfıer usıng UGR16 dataset whıch is publicly available. There are also similiar codes on the Internet. you should use python langıage and pytorch for library

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    I have data from Brazilian e-commerce by olist and i want to predict the demand the data found here : [login to view URL]

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    Am looking for SDN developer. Firstly, I want to ...input of online traffic classification to a load balancing technique, to handle high controller load in data plane in SDN, i will used a hybrid techniques ( artificial neural network and ant colony optimization) will be used to develop Load Balancing mechanism to obtainobta best route in data plane.

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    I need a deep learning model to identify important medical concepts mentions from clinical documents, and classify them into personal identifying informati...residual connections and range normalization simultaneously, and transfer learning to improve the accuracy of the model. This requires an expert in deep learning especially using neural networks.

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    I need a deep learning model to identify important medical concepts mentions from clinical documents, and classify them into personal identifying informati...residual connections and range normalization simultaneously, and transfer learning to improve the accuracy of the model. This requires an expert in deep learning especially using neural networks.

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