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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    I am looking for someone to recreate the code from the following paper with one working example [log masuk untuk melihat URL]~ali/papers/PDEandDeepLearning.pdf#chapter.1 I am interested in an implementation of 6.5 (and possibly 6.2) This is a deep learning code written in Python/ Tensorflow. [log masuk untuk melihat URL] This is the url where you can see them Each Notebook's 1st cell ha...

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    Knowledge needed: Python(advanced) + Tensorflow + Keras(basic). Code has a difficulty at some point which must be taken care of. Other requirements are easy.

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    Hello, I need a function written in c++ (qt, ubuntu) that takes input 2 vector<double> and outputs which one of the 2 vectors is behind (lagging) and by how much. The solution has to implement reinforcement-learning techniques (Q-Learning?) on a RNN using your choice library (propose, explain why the choice). The NeuralNetwork will be "default" trained on some data i will provide...

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    More details explained in private chat

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