/TensorFlow-2.x-Tutorials

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。

Primary LanguageJupyter Notebook

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！