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dragen1860
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Description

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

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TensorFlow 2.0 Tutorials

Our repo. is the Winner of ⚡#PoweredByTF 2.0 Challenge!.

Timeline: - Oct. 1, 2019: TensorFlow 2.0 Stable! - Aug. 24, 2019: TensorFlow 2.0 rc0 - Jun. 8, 2019: TensorFlow 2.0 Beta - Mar. 7, 2019: Tensorflow 2.0 Alpha - Jan. 11, 2019: TensorFlow r2.0 preview - Aug. 14, 2018: TensorFlow 2.0 is coming

Installation

make sure you are using python 3.x.

  • CPU install

    python
    pip install tensorflow -U
    
  • GPU install

Install

CUDA 10.0
(or after) and
cudnn
by yourself. and set
LD_LIBRARY_PATH
up.
pip install tensorflow-gpu  -U

Test installation: ```python In [2]: import tensorflow as tf

In [3]: tf.version Out[3]: '2.0.0' In [4]: tf.test.isgpuavailable() ... totalMemory: 3.95GiB freeMemory: 3.00GiB ... Out[4]: True

配套TF2视频教程

TensorFlow 2.0的视频教程链接:深度学习与TensorFlow 2实战

Acknowledgement

  • 爱可可-爱生活 友情推荐

Includes

  • TensorFlow 2.0 Overview
  • TensorFlow 2.0 Basic Usage
  • Linear Regression
  • MNIST, FashionMNIST
  • CIFAR10
  • Fully Connected Layer
  • VGG16
  • Inception Network
  • ResNet18
  • Naive RNN
  • LSTM
  • ColorBot
  • Auto-Encoders
  • Variational Auto-Encoders
  • DCGAN
  • CycleGAN
  • WGAN
  • Pixel2Pixel
  • Faster RCNN
  • A2C
  • GPT
  • BERT
  • GCN

Feel free to submit a PR request to make this repo. more complete!

Refered Repos.

Our work is not built from scratch. Great appreciation to these open works!

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