Deep Learning algorithms with TensorFlow
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GitHub链接:https://github.com/blackecho/Deep-Learning-TensorFlow
This repository is a collection of various Deep Learning algorithms implemented using theTensorFlow library. This package is intended as a command line utility you can use to quickly train andevaluate popular Deep Learning models and maybe use them as benchmark/baseline in comparison to your custom models/datasets.If you want to use the package from ipython or maybe integrate it in your code, I published a pip package named yadlt
: Yet Another Deep Learning Tool.
Requirements:
- tensorflow >= 0.8
List of available models:
- Convolutional Network
- Recurrent Neural Network (LSTM)
- Restricted Boltzmann Machine
- Deep Belief Network
- Deep Autoencoder as stack of RBMs
- Denoising Autoencoder
- Stacked Denoising Autoencoder
- Deep Autoencoder as stack of Denoising Autoencoders
- MultiLayer Perceptron
- Logistic Regression
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