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Simple tutorials using Google's TensorFlow Framework
Jupyter Notebook
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Latest commit 591b59b Jan 27, 2020
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README.md Add Colab links Jan 27, 2020
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README.md

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

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.

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