If you'd like to use PyTorch, no worries, I made a new PyTorch Tutorial just like Tensorflow. Here is the link: https://github.com/MorvanZhou/PyTorch-Tutorial

Tensorflow 2017 Tutorials

Tensorflow 2+ has been released, here is my quick TF2+ tutorial codes

In these tutorials, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years.

All methods mentioned below have their video and text tutorial in Chinese. Visit 莫烦 Python for more.

• Tensorflow basic
  • Session
  • Placeholder
  • Variable
  • Activation
• Build your first network
  • Regression
  • Classification
  • Save and reload
  • Optimizers
  • Tensorboard
  • Dataset
• Advanced neural network
  • CNN
  • RNN-Classification
  • RNN-Regression
  • AutoEncoder
  • DQN Reinforcement Learning
  • GAN (Generative Adversarial Nets) / Conditional GAN
  • Transfer Learning
• Others (WIP)
  • Dropout
  • Batch Normalization
  • Visualize Gradient Descent
  • Distributed training

Regression

<a href="tutorial-contents/301_simple_regression.py">
<img class="course-image" src="https://mofanpy.com/static/results/torch/1-1-2.gif">
</a>

Classification

<a href="tutorial-contents/302_simple_classification.py">
<img class="course-image" src="https://mofanpy.com/static/results/torch/1-1-3.gif">
</a>

CNN

<a href="tutorial-contents/401_CNN.py">
<img class="course-image" src="https://mofanpy.com/static/results/torch/4-1-2.gif" >
</a>

RNN

<a href="tutorial-contents/403_RNN_regression.py">
<img class="course-image" src="https://mofanpy.com/static/results/torch/4-3-1.gif" >
</a>

Autoencoder

<a href="tutorial-contents/404_AutoEncoder.py">
<img class="course-image" src="https://mofanpy.com/static/results/torch/4-4-1.gif" >
</a>

<a href="tutorial-contents/404_AutoEncoder.py">
<img class="course-image" src="https://mofanpy.com/static/results/torch/4-4-2.gif" >
</a>

GAN (Generative Adversarial Nets)

<a href="tutorial-contents/406_GAN.py">
<img class="course-image" src="https://mofanpy.com/static/results/torch/4-6-1.gif" >
</a>

Dropout

<a href="tutorial-contents/501_dropout.py">
<img class="course-image" src="https://mofanpy.com/static/results/torch/5-3-1.gif" >
</a>

Batch Normalization

<a href="tutorial-contents/502_batch_normalization.py">
<img class="course-image" src="https://mofanpy.com/static/results/torch/5-4-2.gif" >
</a>

Visualize Gradient Descent

<a href="tutorial-contents/503_visualize_gradient_descent.py">
<img class="course-image" src="https://mofanpy.com/static/results/tensorflow/5_15_01.gif" >
</a>

Donation

If this does help you, please consider donating to support me for better tutorials! Any contribution is greatly appreciated!