Overview of the compilation pipeline Definition of the computation graph Compilation of the computation graph Step 1 - Create a FunctionGraph Step 2 - Execute main Optimizer Ste...

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 ...

Links Theano requirements Libraries we might want to look at or use Links This page lists links to various resources. Theano requirements git : A distributed revision con...

Optimizations Optimizations Theano applies many kinds of graph optimizations, with different objectives: simplifying and standardizing the form of the expression graph (e.g. ...

Making arithmetic Ops on double Op’s contract Optional methods or attributes Gradient Defining an Op: mul Trying out our new Op Automatic Constant Wrapping Final version ...

Overview of the compilation pipeline Definition of the computation graph Compilation of the computation graph Step 1 - Create a FunctionGraph Step 2 - Execute main Optimizer Ste...

Sparse Compressed Sparse Format Which format should I use? Handling Sparse in Theano To and Fro Properties and Construction Structured Operation Gradient Sparse In gener...

Deeplearning Algorithms tutorial 多层感知器(Multilayer Perceptron) 应用示例 Deeplearning Algorithms tutorial 谷歌的人工智能位于全球前列，在图像识别、语音识别、无人驾驶等技术上都已经落地。而百度实质意义上扛起了国内的人工智能的大旗，覆盖无人驾驶、智能助手、图...

Links Theano requirements Libraries we might want to look at or use Links This page lists links to various resources. Theano requirements git : A distributed revision con...

Usage of loss functions Available loss functions mean_squared_error mean_absolute_error mean_absolute_percentage_error mean_squared_logarithmic_error squared_hinge hinge cat...