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README.md

TensorFlow 2.0 Tutorials

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

Timeline:

Installation

make sure you are using python 3.x.

  • CPU install
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:

In [2]: import tensorflow  as tf

In [3]: tf.__version__
Out[3]: '2.0.0'
In [4]: tf.test.is_gpu_available()
...
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!

About

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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