Acknowledgements Acknowledgements The developers of NumPy . Theano is based on its ndarray object and uses much of its implementation. The developers of SciPy . Our sparse m...

Configuration Settings and Compiling Modes Printing/Drawing Theano graphs Debugging Theano: FAQ and Troubleshooting Dealing with NaNs

Writing an Op to work on an ndarray in C Writing an Optimization Test the optimization Writing an Op to work on an ndarray in C This section walks through a non-trivial examp...

Using Op params The params type The params object Defining a params type Registering the params with your Op Signature changes from having params A simple example A more comp...

机器学习 机器学习库。 参见: awesome-machine-learning . Caffe: 一个 Caffe 的 python 接口。官网 Caffe2 ：一个轻量级的，模块化的，可扩展的深度学习框架。官网 Crab：灵活、快速的推荐引擎。官网 gensim：人性化的话题建模库。官网 hebel：GPU 加速的深度学习库。官网 k...

Using the GPU CUDA backend Testing Theano with GPU Returning a Handle to Device-Allocated Data What Can Be Accelerated on the GPU Tips for Improving Performance on GPU GPU Asyn...

Implementing double in C How does it work? What needs to be defined Defining the methods What the generated C will look like Final version DeepCopyOp ViewOp Shape and Shape_...

gradient – Symbolic Differentiation Gradient related functions List of Implemented R op gradient – Symbolic Differentiation Symbolic gradient is usually computed from gradien...

Views and inplace operations Views Inplace operations Destructive Operations Inplace optimization and DebugMode Views and inplace operations Theano allows the definition of...

Glossary Glossary Apply Instances of Apply represent the application of an Op to some input Variable (or variables) to produce some outputVariable (or variables). They are ...