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    1,211 video format cnn jobs found, pricing in INR

    ...respectively in varying environments The task here is to load the videos,extract suitable features and train a Machine Learning model to classify each video as walking or jogging. Heads-up: You can train CNN if you want,but beware of the time running out. Link to Data: [login to view URL] Instructions

    ₹2036 / hr (Avg Bid)
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    ...respectively in varying environments The task here is to load the videos,extract suitable features and train a Machine Learning model to classify each video as walking or jogging. Heads-up: You can train CNN if you want,but beware of the time running out. Link to Data: [login to view URL] Instructions

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    6 bids

    ...the post that is related to topic. If the post is not related to any new topic then create a new topic. I hope it is enough to describe what I'm talking about. Example : 1) CNN - posted 3 hr ago :Trump looking for house2)BBC - posted 2 hr ago : Trumping searching for new house3) Fox News - posted 1 hr ago : Xyz claims trump seeking for [login to view URL] here

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    I need a feature extraction of a specific network. Any kinds of approaches would be accepted.

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    ...condensed in a single image by using simple mathematical operations (for instance, 8 frames will be averaged). The result image stream at 20fps(160fps/8) will be fed in the Yolo CNN...

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    I need to detect some objects using Deep learning Will send u test and train dataset

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    ...features and who also has solid background in SVM, image processing, face detection and recognition the project is about doing research and writing a technical report on CNN and DNN about the experiments i have conducted, it will include deep research analysis ...different deep learning methodologies, their pros and cons ..it will be a highly technical

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    Hi, I want to implement a CNN in a Xilinx FPGA using Caffe or Tensorflow.

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    Hi Yongtao J., I have a micro-project about visualizing the some features of some layers of a CNN network for optical flow estimation. If you are interested in it please respond back. Thank you.

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    I need to visualize the features of the couple of convolutional layers of a specific CNN network for optical flow estimation

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    we extract the compressed domain inforamtion form HEVC encoded video (UCF dataset), and we want to do action recognation on this dtat with deep learning (3d cnn and/or LSTM) and Keras is needed. also access to GPU and server can be provided. and datae becomes ready the acurecy have to be passed is 80% . bests

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    Looking for a software developer that knows how to write a captcha solver by using some deep learning framework (maybe Tensorflow CNN or something). 1. High success rate 2. Short solving time All image came from the same captcha generator All 4 LETTER/DIGIT images I can provide 10K+ captcha image samples for training The solver needs an API(HTTP restful

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    In this project, we need to work on human motion video datasets e.g. KTH dataset. Need to perform an efficient implementation of deep CNN or any other deep learning model and obtain results accuracy.

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    I am trying to build a CNN model with Keras, .dcm image data, and labels from a .csv file. I have some python code which is about 90% finished. I am looking for somebody to debug the code and get the CNN up and running.

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    ... in case of steganalysis, the scenario changes because the noise caused by the steganography in the cover image is very weak and difficult to identify. We have to design a CNN based steganalyzer for image classification into stego or cover which is novel in its idea and competes with current state of the art techniques....

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    ...plus. ( This is an initial post, a test run over a period of 1 week) These posting might come under the keywords: computer vision (CV), OpenCV, Convolution Neural Networks (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Object detection, face detection, object tracking, vehicle detection, chatbot building, speech recognition, machine

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    ...Alert and Mention.com. The user will add the publisher source he wants to get the alerts from. We need a developer to build a web scraper that scrapes the rss of the sources e.g CNN rss entered by the user, then reads through the contents to locate the tag(s) e.g "car" entered in by the user. Once tag is located in a story, we send the story to the user

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    ...Alert and Mention.com. The user will add the publisher source he wants to get the alerts from. We need a developer to build a web scraper that scrapes the rss of the sources e.g CNN rss entered by the user, then reads through the contents to locate the tag(s) e.g "car" entered in by the user. Once tag is located in a story, we send the story to the user

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    I need a functionality to detect images with knife,damaged vehicle or gun are violent images. I prefer to do this by using Python, OpenCV, Or ANN or CNN and frameworks like tensorflow or keras. When the user upload an image this functionality should check whether the image contains any of the above mentioned objects or not. I just need the functionality

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    hellogvfxr CNN jxgbjvv

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