Artificial neural network construction and training
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Updated
Sep 20, 2015 - Python
Artificial neural network construction and training
Bidirectional Helmholtz Machines
Image Classification with CNN
Artificial Neural Network for https://www.kaggle.com/c/flavours-of-physics
All popular machine learning toolkits in one docker image.
Python Deep Neural Network ToolKit.
A hobby learning project: for learning neural networks
轻量、易于修改、可组层训练的神经网络 / Lightweight Greedy Layer-Wise Training Neural Network
TO predict the sentiment in facial expression images using convolution neural networks
Dockerfile for starting DMN with UI
Theano reimplementation of pixelCNN architecture
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Implementation of the reweighted wake-sleep machine learning algorithm
Keras implementation of "A Neural Algorithm of Artistic Style"
Reimplementation of DRAW
Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
A Theano implementation of a CNN DSEBM (deep structured energy-based model) described in https://arxiv.org/pdf/1605.07717v2.pdf
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