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https://github.com/nlintz/TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
https://github.com/nlintz/TensorFlow-Tutorials
Last synced: 2 months ago
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Simple tutorials using Google's TensorFlow Framework
- Host: GitHub
- URL: https://github.com/nlintz/TensorFlow-Tutorials
- Owner: nlintz
- Created: 2015-11-10T23:02:28.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2023-08-20T07:32:57.000Z (9 months ago)
- Last Synced: 2024-01-16T04:55:55.122Z (4 months ago)
- Language: Jupyter Notebook
- Size: 881 KB
- Stars: 5,985
- Watchers: 358
- Forks: 1,548
- Open Issues: 16
-
Metadata Files:
- Readme: README.md
Lists
- awesome-rnn - Tutorials
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- awesome-tensorflow - TensorFlow Tutorial 2 - Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano (Tutorials)
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- awesome-stars - nlintz/TensorFlow-Tutorials - Simple tutorials using Google's TensorFlow Framework (Jupyter Notebook)
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- awesome-tensorflow - TensorFlow Tutorial 2 - Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano (Tutorials)
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- awesome-tensorflow - TensorFlow Tutorial 2 - Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano (Tutorials)
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- awesome-deep-learning - TensorFlow tutorials
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- awesome-deep-learning - TensorFlow tutorials
- awesome-tensorflow - TensorFlow Tutorial 2 - Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano (Tutorials)
- awesome-stars - nlintz/TensorFlow-Tutorials - Simple tutorials using Google's TensorFlow Framework (Jupyter Notebook)
- my-awesome-stars - nlintz/TensorFlow-Tutorials - Simple tutorials using Google's TensorFlow Framework (Jupyter Notebook)
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README
# TensorFlow-Tutorials
[![Build Status](https://travis-ci.org/nlintz/TensorFlow-Tutorials.svg?branch=master)](https://travis-ci.org/nlintz/TensorFlow-Tutorials)
[![Codacy Badge](https://api.codacy.com/project/badge/grade/2d3ed69cdbec4249ab5c2f7e4286bb8f)](https://www.codacy.com/app/hunkim/TensorFlow-Tutorials)Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of
Newmu's [Theano Tutorials](https://github.com/Newmu/Theano-Tutorials).***Topics***
* [Simple Multiplication](00_multiply.py)
* [Linear Regression](01_linear_regression.py)
* [Logistic Regression](02_logistic_regression.py)
* [Feedforward Neural Network (Multilayer Perceptron)](03_net.py)
* [Deep Feedforward Neural Network (Multilayer Perceptron with 2 Hidden Layers O.o)](04_modern_net.py)
* [Convolutional Neural Network](05_convolutional_net.py)
* [Denoising Autoencoder](06_autoencoder.py)
* [Recurrent Neural Network (LSTM)](07_lstm.py)
* [Word2vec](08_word2vec.py)
* [TensorBoard](09_tensorboard.py)
* [Save and restore net](10_save_restore_net.py)
* [Generative Adversarial Network](11_gan.py)***Dependencies***
* TensorFlow 1.0 alpha
* Numpy
* matplotlib