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    3,033 multilayer perceptron neural network model matlab jobs found, pricing in USD
    Trophy icon Design a Logo 8 days left

    We are AIsight ...data acquired through the AIsight sensor kit. Keywords: dynamic machine machine learning network artificial intelligence self-learning algorithm automization industry analytics sensors data hardware software deep tech neural networks mesh optimisation we are looking forward for your suggestions!

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    There are 30 satellite pictures of houses and 25 corresponding labels that indicate the roofs. Take those 25 data points and train a neural network on them Please evaluate your network on the 5 remaining test images by making predictions of the roofs. I need it done asap.

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    English editing 3 days left

    I have an 6800 word manuscript on nanomaterials for neural tissue engineering research review article. want to publish in good journals. I need help to make it good English such as, grammar, spelling check, and rewrite the sentences wherever required to make scientifically meaningful.

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    ...for a few weeks to months. The task can be challenging but will really depend on your attitude. Please see below for the specific requirements for this gig. Requirements: *Neural accent, American accent a plus *Honest, reliable, and a people-person with a go-getter attitude *Cold calling or customer service experience preferred *Desktop or laptop computer

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    I need a people counter, which will use neural network and a raspberry pi3 as hardware. I already have several neural network training images and videos from the site for the detection tests.

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    This is MultiLayer Perceptron project in 2 days

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    .../blob/master/[login to view URL] There is already a quite good translation out there, however it uses P5 as dependency. [login to view URL] This would be a good starting point as the most translation is already done within. However the included P5 Lib must disapear, as this program must run on a pure console:

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    we need to implement a ANN network , CNN or deep learning any approach related to the machine learning or Neural network in order to processing medical images

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    ...description of how neural networks can be design to carry out text classification using a neural network. The text in our case is various medical charts with PII(patient names, age, date of birth, hospital name). We need a neural network to be designed and trained in order to identify PII and anonymize them. Describe also how to improve the model using...

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    Dear, I want the project of Breast Cancer Detection using Convolutional Neural Network. Please send the project proposal including dataset, training data and validation dataset and detail description. Thank You

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    ...machine learning to develop a prototype for experimenting text classification using a neural network. I have a medical chart with patient names, age, date of birth, hospital name. I need a neural network to be trained in order to identify the above PII and improve the model using transfer learning and deep learning in terms of accuracy. For you to be considere...

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    ...gray #383838 are the main colors and we are happy to add something new. We are a TECH company, but we don't want the "machine hardware" elements - we lean more towards neural network etc. "Tightness", "system", fewer circles. Maybe adding a "human face" of our educational technology. The font has to facilitate our long name (ideally, ...

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    It has a bug I can't get to, someone experiences should solve this quite quickly. I guess the error is in the train method. I need it to get me a 95+% accuracy Budget: 40$ There's an extra 30$ task if you can do this Training data is here: [login to view URL]

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    I need to use neural network to count passengers inside a bus. I have 5000 images of passengers inside the bus for creating dataset. I already created a dataset but the precision was not good. I have little experience with neural network. I need this count to work on a raspberry pi3.

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    ...Google Translate (the total amount of words is in the title of this project.) Even though Google Translate recently became really good at FR -> EN translation thanks to their neural technology, the texts still contain a lot of grammar errors, so you will need to be watchful while proofreading (check the attached unedited sample texts please.) You will

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    ...contextual data. After data acquisition phase, the data analysis phase follows to detect activity based on artificial intelligence techniques including machine learning and neural networks. The third phase will be training and testing data and be extracting analytical results. After detecting the type of the activity, it is required to measure its amount

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    I need help to make my neural network work on a raspberry. I created a dataset myself, I did the training but the performance is very bad. I need help to run with good performance and check if I'm missing something in creating the dataset and something else. I need someone to accompany me in the creation from the dataset to the detection of people.

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    ...performing online actions as directed—from maintaining our and developing our tools and platforms, to taking code tests, as well as conceptualizing and implementing solutions to our neural-net driven job portal, and more. Qualifications • 1+ years of professional experience working in the information technology industry • 1+ years of agency experience • A strong

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    ...contextual data. After data acquisition phase, the data analysis phase follows to detect activity based on artificial intelligence techniques including machine learning and neural networks. The third phase will be training and testing data and extracting analytical results. After detecting the type of the activity, it is required to measure its amount

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    ...understand that prediction and learning are two operations which are performed at separate times. As far as I can determine this is a supervised - regression, deep learning neural network scenario but if you have some other idea to do this better let me know. I would like to have as many hidden layers as my pc can still function with in seconds or minutes

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    For training of neural network we need at least 2000 images of faces with closed eyes and also 2000 with opened. It should be more than 50 different people of different nationalities. The size of each photo must be not less than 640x480. The photos could be make, download from the web, from the ready dataset (except [login to view URL]

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    Artificial Immune Algorithm is used to optimally determine the architecture of a convolutional neural network (CNN) that is used to classify handwritten numbers. The CNN is a class of deep feed-forward network, which have seen major success in the field of visual image analysis. During training, a good CNN architecture is capable of extracting complex

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    ...Google Translate (the total amount of words is in the title of this project.) Even though Google Translate recently became really good at FR/GE -> EN translation thanks to their neural technology, the texts still contain a lot of grammar errors, so you will need to be watchful while proofreading (check the attached unedited sample texts please.) You will

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    looking for some one with these skills : 1. Machine Learning 2. Deep Learning 3. RNN 4. CNN 5. LSTM You will be building a neural network with me. The most challenging part is hyper parameter tuning. It involves Natural Language Processing. I will provide the compute resources on AWS. So Knowledge with AWS will be a plus. Only apply if you have done

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    ...machine learning to develop a prototype for experimenting text classification using a neural network. I have a medical chart with patient names, age, date of birth, hospital name. I need a neural network to be trained in order to identify the above PII and improve the model using transfer learning and deep learning in terms of accuracy. For you to be considere...

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    In project we have two types of images data, o...of images, by using following type of method. Normal and effected images [1]. Logistic Regression [2]. SVM (support Vector machine) [3]. LR+SVM [4]. CNN (Convolutional Neural Network) but in this you cannot use Alexnet, GoogleNet, VGG, you can only use some other method like ResNet-101, inception-V3

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    I've RGB and Depth images, have to create a pointcloud for each keyframe and extract patches over it and create two channels, one average distance to the keypoint and one average grey values of the points.

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    understanding neural network and stock values

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    Use inexpensive microprocessor from Rockchip, Allwinner [login to view URL] should be Android. Decode 4K video, microphone input. No AI, neural network or image recognition required. Be able to drive dual touch screens (1080P each). Use existing SBC reference design from microprocessor company. In reality just the layout needs to be customized, the reference schematics

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    ...taken from online sources. 3. Using the images and their annotations (dataset will be provided by me), train the capsule neural network, Fast-RCNN, Faster RCNN and Mask RCNN. 4. Record validation accuracy for each trained neural network. 5. Using the testing images (also provided by me) detect the objects in the scene. 6. On the basis of objects detected

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    I wrote a neural network using Python and Tensorflow. The code and sample data are here: [login to view URL] Unfortunately the results are not converging, even with trivial data that mathematically should converge due to overfitting. This is because there is a bug in the code, somewhere. The first person

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    ... The image will be tech style, mystical but futuristic and 3D looking and will contain information highlighting my best professional traits, experience and skill set in a network stem cell style infographic with symbols for each with a human element for the centre piece (see page 1 for example, page 3 for actual info). Please refer to documents for

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    We are searching for a developer who can create a Neural Network Trading EA for one of the following platforms: MT4 or MT5. It will focus on one pair for now in the Foreign Exchange market and will trade a breakout strategy. This bot will look at different time frames to add to the confluence for its entering and exits. It will need to be able

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    I have an unfinished project on grading of eye images. Currently developed in python using pytorch...have an unfinished project on grading of eye images. Currently developed in python using pytorch framework. I need to fine tune the AI engine ,so that the model will be fully trained and port the model as a local application that can run on a notebook.

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    ...cardiac sector 2. Applying classification mechanisms on that data 3. Applying clustering to group the data based on the condition of seriousness 4. Developing a new predictive model that could identify the upcoming health scenario of an individual and giving him alerts messages of how to manage with the situation 5. Collecting the data set and applying

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    Tutor Neural Network (Object Detection)

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    ...performing online actions as directed—from maintaining our and developing our tools and platforms, to taking code tests, as well as conceptualizing and implementing solutions to our neural-net driven job portal, and more. Qualifications • 1+ years of professional experience working in the information technology industry • 1+ years of agency experience • A strong

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    I need to make a Recurrent Neural Networks(RNN) model to make code repair for PHP language. I have some examples (vulnerable examples and fixes examples). For testing the model, the input will be a vulnerable code and the expected output is the fixed code. I need someone with experience in RNN and data pre-processing to help me and give me hints in

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    ...Google Translate (the total amount of words is in the title of this project.) Even though Google Translate recently became really good at FR -> EN translation thanks to their neural technology, the texts still contain a lot of grammar errors, so you will need to be watchful while proofreading (check the attached unedited sample texts please.) You will

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    ...Google Translate (the total amount of words is in the title of this project.) Even though Google Translate recently became really good at FR -> EN translation thanks to their neural technology, the texts still contain a lot of grammar errors, so you will need to be watchful while proofreading (check the attached unedited sample texts please.) You will

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    implement haar-cascade and convolutional neural network with python and openCV on linux, i didnt choose the type of cnn yet, you can name anyone that you familiar with, i want code for training and detection, i dont have a specific dataset for training, its my master degree project and object to be trained could be anything but i have to do a real time

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    implement haar-cascade and convolutional neural network with python and openCV on linux, i didnt choose the type of cnn yet, you can name anyone that you familiar with, i want code for training and detection, i dont have a specific dataset for training, its my master degree project and object to be trained could be anything but i have to do a real time

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    implement haar-cascade and convolutional neural network with python and openCV on linux, i didnt choose the type of cnn yet, you can name anyone that you familiar with, i want code for training and detection, i dont have a specific dataset for training, its my master degree project and object to be trained could be anything but i have to do a real time

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    implement haar-cascade and convolutional neural network with python and openCV on linux, i didnt choose the type of cnn yet, you can name anyone that you familiar with, i want code for training and detection, i dont have a specific dataset for training, its my master degree project and object to be trained could be anything but i have to do a real time

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    I a student , my Project is speech recognition in noisy environments I want to recognize english digits (0 to 9) words .I want to train comparing neural network vs hmm in matlab .

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    I want someone who can teach me DataScience - numpy , pandas, neural network, machine learning, deep learning- steady - 1 months maybe. I have exp. in Java and Python already Budget Rs 4000

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    I would like to design a logo for my blog called [login to view URL] the blog focused on Artificial Neural Network, Medical Science (on Neuro), Financial Engineering, Fintech. Mindroof is pretty much a name that describes our focus and study on ANN and AI, and to encapsulates it all under one roof. So the logo should have 1) A brain in 2D format, or

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    To help build my website, basically it is a magazine like website, with reference to www.entrepreneur.co...[login to view URL] and [login to view URL] The focus is to build the layout like [login to view URL] and but with large images and magazine like pages. the page is mainly about Artificial Neural Network, and Financial Engineering. Some requirements is as attached.

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    On the uploaded pictures...of the two clouds and can disrupt a bit the the training and test accuracy (%). Is there an unsupervised machine learning model or other techniques we can use to get rid of those points? I thought to try to train a neural network to maximize inter class distances, but minimize intra class distances, but it is a bit unclear.

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    I am a scientist from an American university and I have written a beta version of a neural network code. The code is working fine but it needs to be scaled up using Keras Data generators so that it is not so RAM intensive. There is also a scipy module which I would like to call during the data generation process.

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