TensorFlow is an open-source, python-friendly library used for high-performance numerical computation that makes machine learning easier and faster. It replaced “DistBelief,” its closed-source predecessor.

TensorFlow has a flexible architecture which enables an easy deployment of numerical computation across several platforms – TPUs, GPUs, CPUs; from desktops to collections of servers to edge and mobile devices.

It was initially created by engineers and researchers from the Google Brain team for both research and production. It comes with a strong support for deep learning and machine learning for dataflow programming across varieties of tasks.

When it comes to the application of TensorFlow, it is being used by social media companies for photo tagging; image analysis for microscopy; retail stores use it for object detection during checkout; space exploration, automotive, aviation, and healthcare also use it for image and object recognition.

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    An image segmentation web service using python. A user will upload an image through the website. The python module will receive the image, do the image segmentation and return the result.

    $288 (Avg Bid)
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    The goal is to build a vehicle recognition system that can be deployed in a small building and at scale perhaps in a congested street. Any framework and API (such as openalpr are fine). Requirement include the ability for the system to capture these vehicles in real time and know the following (make, model, color and license plate), and to store them in some form of database (locally or online)...

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    보다 자세한 내용을 확인하시려면, 회원 가입 또는 로그인 절차가 필요합니다.

    파워형 NDA (비밀 유지 계약서)

    Looking for someone who can implement Machine Learning algorithms and make decisions and automate the task making it a complete AI. The AI will learn to play game(s). some video examples [로그인하시면, URL을 확인하실 수 있습니다.] [로그인하시면, URL을 확인하실 수 있습니다.] series (you should watch these and get a handle of how the workflow kind of goes like if you want that is) [로그인하시면, URL을 확인하실 수 있습니다.] Just another exampl...

    $625 (Avg Bid)
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    The task is to transform a real-time video stream, modifying faces of passers-by and/or other surrounding objects to resemble face of a previously defined subject. To give a bit of context -- this is a part of an art installation, called "Network in love". * The system receives real-time video stream of the surroundings (art exhibition hall - furniture, art installations, visitors movi...

    $1064 (Avg Bid)
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    8 입찰

    The task is to transform a real-time video stream, modifying faces of passers-by and/or other surrounding objects to resemble face of a previously defined subject. To give a bit of context -- this is a part of an art installation, called "Network in love". * The system receives real-time video stream of the surroundings (art exhibition hall - furniture, art installations, visitors movi...

    $1093 (Avg Bid)
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    We are currently developing a web app where we want to keep a good track of goods, by eliminating human error when it comes to measuring liquids. So we've thought of an app where we would scan a bottle, determine the liquid level in it and then store that value into the database for further processing.

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    We're looking for someone to develop a live CCTV Target Tracking solution for us. The target can be a person or an object in real time on a CCTV camera feed. Please message for further questions.

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    I need you to create a machine learning algorithm for use in the medical setups. The algorithms should predict strokes from patients as well as heart attacks and generally heart complications. We plan to use smart bracelets to collect heart information from the patient in real-time. Once the scans have been uploaded, the app should return a report based on that scan and highlight the sections of t...

    $579 (Avg Bid)
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    Use this code/article [로그인하시면, URL을 확인하실 수 있습니다.] [로그인하시면, URL을 확인하실 수 있습니다.] The code works and produces results. 1. I need you to make it work for other model - I will supply data schema. The model can train itself as in article. 2. I need you to teach me how to operate it as to how each part works, how to make new models, train , how indexes are applied to the dataset, etc..

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    This is a simple machine learning project for a simple regression problem with about 20 features and <50k observations. The issue at hand is that we want to predict whether it is good for a firm to buy a new production plant or not. In the data, we have n firms at different points in time t. The target value is the value-added when they buy a new plant. The data is already available and cleane...

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    NLP using Python 3 일 left
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    The basic task is the co-extraction of aspect and opinion terms from the data using python ;angauge . The freelancer should have deep understanding and knowledge of different RNN deep learning algorithms, like LSTM, GRU, Dilated RNN, Independent RNN etc. Should know how to create initial feature vectors using BERT model (It can be done using Flair Embedding). Should have done extensive work using...

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    I need you to build me a machine learning algorithm that shall be runnable from the web using a browser. The algorithm should be able to predict strokes and heart attack based on the data passed in. Please understand this requirement before bidding

    $498 (Avg Bid)
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    I have 300 weeks sale data. The task is to make deep learning (machine learning) model using 299 weeks data (training data) to predict for 300th week data (test data). If the predictions are near to 300th week data (test data), the model is called success. Freelancer is free to coding in Python (Keras) using any deep learning (machine learning) model/approach, and share the code to me. However, th...

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