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    1,299 cnn video format jobs found, pricing in INR

    I want a code of deep CNN in MATLAB to recognize characters.

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    7 bids

    ...experiments, I need a developer with knowledge of CNN frameworks in python(Keras, Tensorflow or Theano), they have to build CNN models using the word vectors as features, code should be readable and easily reusable to change parameters of network, also i need the graphs that can demonstrate overfitting by CNN on data. I also need to train stacked ensemble

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    CNN in MATLAB 6 days left

    Hi, I want to implement a research article in MATLAB which is related to CNN and some changes which we will discuss during implementation. Implementation should be in MATLAB.

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    ...tensorflow or fastai. i also wanted to focus on upper and lower face only, so it will have fewer variables to analyze or classify. (2) training data will be videos as I wanted to do CNN to predict actions from moving input. (3) so the labeled datasets will be as mentioned Action Units (AU) (3) I want to deploy it in PC only at the moment. (4) in terms of framework

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    ...tensorflow or fastai. i also wanted to focus on upper and lower face only, so it will have fewer variables to analyze or classify. (2) training data will be videos as I wanted to do CNN to predict actions from moving input. (3) so the labeled datasets will be as mentioned Action Units (AU) (3) I want to deploy it in PC only at the moment. (4) in terms of framework

    ₹718 / hr (Avg Bid)
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    1 bids

    ...tensorflow or fastai. i also wanted to focus on upper and lower face only, so it will have fewer variables to analyze or classify. (2) training data will be videos as I wanted to do CNN to predict actions from moving input. (3) so the labeled datasets will be as mentioned Action Units (AU) (3) I want to deploy it in PC only at the moment. (4) in terms of framework

    ₹718 / hr (Avg Bid)
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    We are curre...Twitter Followers -> +10'000 e. Instagram Followers & Shares -> +10'000 3. use your network to get 5 articles (published on 2 websites) published on 2 mainstream news channels (cnn, bbc, bloomberg, reuters, new york times, etc.) Please let me know ASAP if you are what it takes to get this done with 2 business after acceptance of offer.

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    ...for writers or article contributor who could write about us on top-ties business and Technology or lifestyle sites (Forbes, Entrepreneur, Inc, FastCompany, BusinessInsider, CNN, HuffPost, Techcrunch,cnet, Engadget, or mashable etc). Here is a 2 years startup with the brand new amazing product. The article can be a feature, interview, review or even

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    We want to develop an app to recognize signs using cnn model. We already have a trained cnn model on 45 gestures stored with h5 extension. An app which uses this trained model and recognizes gesture is required.

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    I'd like a graphic created for a pick-up basketball event coming up. Includes pictures of team captains, title, etc. - want a look of ...event coming up. Includes pictures of team captains, title, etc. - want a look of a heavy-weight battle to generate excitement. Included a (poorly) done example as well as a CNN promo for a past debate as reference.

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    ...output will be the predicted story point. • Story point Range: 1 - 40 * Text pre-processing * Feature Engineering using tf-idf * Implementation using Paragraph2Vec *Implement CNN for text regression Attached is one of the sample csv files...

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    ...output will be the predicted story point. • Story point Range: 1 - 40 * Text pre-processing * Feature Engineering using tf-idf * Implementation using Paragraph2Vec *Implement CNN for text regression Attached is one of the sample csv files...

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    ...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 which I have implemented so far. So the problem is to extend my work on a different

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    i want proposed system for prostate cancer classification using CNN and RBM

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    I want to modify mask r-cnn model to multispectral input (one channel takes rgb images and other channel takes thermal input)

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    Requirement is to build an eye blink detector with classification (open/closed eye) using linear SVM classifier with HOG features and the LeNet-5 CNN.

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    Media expert needed who will be able to push and promote an article (can be existing or exclusively developed) for leading news media web outlets - i.e. Forbes, CNN Money, or anything related business and tech. The objective is to promote brand and increase the exposure and traffic to consulting business and website and to promote the content. If

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    Im wanting a app that I can post news articals to like cnn. The back end will be simple. Title, Photo video and paragraph. The footer will be hyper links to the source of the news articles. Their will be a search option in the header. I want to use google custom search as the search bar. Which will search for my articals on my app (website) on google

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    I want to predict the numeric value with input as text format For Eg: INPUT: Title: Allows CVS repo to timeout and report on locking issues Description: Sometimes, when you perform a CVS action you get something like {noformat} cvs update: [01:38:32] waiting for mchai's lock in /cvsroot/atlassian/maven2test/bamboo {noformat} so Bamboo

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    build algorithm by using mask r-cnn and r* cnn

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    I am l...fact 2 images and 2 digits. Some of the images are lower in resolution but the format is the same each time. I have a script written in Python/CNN that you can look at. Skills needed are OpenCV, OCR, Image Processing. The cloud APIs are not enough - we are so far using CNN. We are looking at getting to 85%-95% accuracy. Hopefully higher.

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    Hello friends, I am trying to run a CNN algorithm in Python Keras on my own data. But I encounter different errors. So I am looking for someone who is well experiences with keras, and CNN, so can solve my problems. Please only bid, if you have good experience. Because I don't have time for explorations. And mention in your bid the word ColdKeras so

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    Need an AI expert to use Tensorflow or Keras or Pytorch and OpenCV to develo...AI expert to use Tensorflow or Keras or Pytorch and OpenCV to develop a program that capture video images and use those to train so that the AI program can be use to detect objects from a let say usb video camera Flexible with using additional helper (CNN, SVM, RCNN)

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    So you need to build a CNN and A RNN for that specific dataset (We are not looking for great accuracy. anything above 70 is fine). using tensorflow. you need to train the same data set and test the same data set. once testing is done you need to save the result in another file (save each row with expected result and obtained result). Once done with

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    ...with (9 columns). The last column is the label for the data set (0 or 1). I'm very well aware that the data set is not appropriate for either CNN or RNN because of its characteristics. But I need you to build a CNN and RNN using Tensorflow train and test the same data (U can ignore a few columns which are not relevant)and save the result in another file

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    problem identification + implementation data science/AI/NLP/CNN/rnn

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    Predicting the distance of traffic sign such as no parking from the webcam/camera

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    i want developer for search and development new idea on tool based on AI, if you have new idea bid on project

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    i looking for development new online tool idea based on web application that run automatically, that can help users on some tasks share your ideas if you have.

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    ...smart phone, detect the screen and segment it (to later feed a classifier with the frames of the TV show). I need help on this task. I know there are algorithms like Mask R-CNN that can segment some things like people/cars/etc. but I need a custom model to do so JUST for screens/TV/monitor. The solution can rely on deeplearning/basic image manipulation/whatever

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    Note : create millstone after see demo of work online tool based on AI and CNN , let voice in speaker video seems like native English speaker if speaker not talk English well

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    input : image along with description about image output: features of image,keywords in image description and tell whether description about image is given correctly or not(compare image features and keywords)

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    input : image along with description about image output: features of image,keywords in image description and tell whether description about image is given correctly or not(compare image features and keywords)

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    ...making something clever to get better Lstm What I have read is generally(most useful ones)are generally hybrid ones: 1)Lstm for feature selection and Svm for classification. 2)1d Cnn for feature selection and lstm for classification. 3)For a better approach,it might be tried to achieve feature selection via LSTM and classification via SVM or any algorith

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    ...making something clever to get better Lstm What I have read is generally(most useful ones)are generally hybrid ones: 1)Lstm for feature selection and Svm for classification. 2)1d Cnn for feature selection and lstm for classification. 3)For a better approach,it might be tried to achieve feature selection via LSTM and classification via SVM or any algorith

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    Convolutional Neural Network experience is required We have been developing a project that solves puzzles, the puzzle requires an image of random orientation to the correct angle. There is a possible of 9 rotations/answers 360/9 = 40 degrees per possible answer. The puzzle solver is a web service in which we ask for the server to solve puzzle for the client. Our web server is Linux with ...

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    I am seeking Professional Writers or Journalist that can publish an Article related to Aviation, Automotive, Aerospace , Military or Maritime. Then add a photo containing our Custom Replica model and slant the topic or to simply give credit to our Model photos in the article. We are seeking a backlink. Please let us know if you have any questions or concerns. Only Professional writers and Jour...

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    Write + Publish on Forbes or CNN or BBC We don't require just writing service. We need the article published on a website.

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    Facial Express detection ...using OpenCV and CNN Facial Expression Recognition i will pay just payeer

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    Facial Express detection ...using OpenCV and CNN Facial Expression Recognition

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    Facial Express detection ...using OpenCV and CNN Facial Expression Recognition

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    I need you to develop some software for me. I would like this software to be developed for Windows using Python.

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    Facial Express detection ...using OpenCV and CNN Facial Expression Recognition Kinect, Machine

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    I need develop a deep learning algorithm based on CNN to detect pain from my data (mcmaster shoulder pain dataset) in python.

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    need to develop a pain detection algorithm by Python using deep learning (CNN) and using images from McMaster Shoulder Pain dataset.

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    I need you to develop some software for me. I would like this image psychoanalysis using deep cnn to be developed for Windows. use matlab

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    ...reference papers used only from 2015 to 2018. This paper has to be created on deep learning and detecting and analysis cancer in liver using unsupervised technic and must enhance CNN Algorithm to detect cancer in liver. I need the paper and all the reference papers you used in next 15 days. The plagiarism of the survey paper must be lowest possible (Expected

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    For a given 2 folders with images of different size, make a simple to read deep learning model using tensorflow or pytorch to classify images into one of those two classes. The task should be done using jupiter notebok Data can be found at [login to view URL] The solution should work even if file names are replaced and more files added. The solution should use of at least one convolutional lay...

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    we need to do clothing detection and segmentation: [login to view URL]~tangseng/clothing_parsing_project here they are combining a few different publ...set-up for runtime processing, for example as an input from a scraper 4) Timeline: by end of next week would be ideal You should have experience with deep learning, especially CNN and RNN.

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