TensorFlow-Tutorials

Introduction to deep learning based on Google's TensorFlow framework. A fork of nlintz/TensorFlow-Tutorials being updated with TensorFlow 2.0 and Keras.

Topics

#	Notebook	Colab
0	Simple Multiplication
1	Linear Regression
2	Logistic Regression
3	Feedforward Neural Network
4	Deep Feedforward Neural Network (Multilayer Perceptron)
5	Convolutional Neural Network
6	Autoencoders
7	Recurrent Neural Network (LSTM)
8	Word2vec
9	TensorBoard
10	Save and restore net
11	Generative Adversarial Network

Installation

Install the requirements.

pip install -r requirements.txt

Google Colab is recommended.

License

This fork is licensed under the MIT license. If you are unhappy about me adding this license, please contact me.