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INTRO.md

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This repository aims for comparative analysis of TensorFlow vs PyTorch, for those who want to learn TensorFlow while already familiar with PyTorch or vice versa.
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## Important Updates
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[ ** TensorFlow ** ]
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Eager Excution (Dynamic graph) (https://www.tensorflow.org/guide/eager)
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>> Tensorflow also launches a dynamic graph framework which enables define by run.
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[ ** Pytorch ** ]
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Variable is merged into Tensor(https://pytorch.org/blog/pytorch-0_4_0-migration-guide).
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>> Currently, torch.Variable returns torch.tensor and torch.tensor can function as old torch.Variable.
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| | TensorFlow | PyTorch |
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|---------------|------------------------------------------------------|----------------------------------------------------|
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| | [Numpy to tf.Tensor](https://github.com/tango4j/tensorflow-vs-pytorch#numpy-to-tftensor) | Define-by-run |
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## TABLE OF CONTENTS
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[**01. Tensor**](https://github.com/tango4j/tensorflow-vs-pytorch#01-tensor)

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