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-- Lasagne latest Installation Tutorial Layers Creating custom layers Development lasagne.layers lasagne.updates lasagne.init lasagne.nonlinearities lasagne.objectives lasagne.regularization lasagne.random lasagne.utils Lasagne Docs » Welcome to Lasagne Edit on GitHub Welcome to Lasagne ¶ Lasagne is a lightweight library to build and train neural networks in Theano. Lasagne is a work in progress, input is welcome. The available documentation is limited for now. The project is on GitHub . User Guide ¶ The Lasagne user guide explains how to install Lasagne, how to build and train neural networks using Lasagne, and how to contribute to the library as a developer. Installation Prerequisites Stable Lasagne release Bleeding-edge version Development installation GPU support Docker Tutorial Before we start Run the MNIST example Understand the MNIST example Where to go from here Layers Creating a layer Creating a network Naming layers Initializing parameters Parameter sharing Propagating data through layers Creating custom layers A simple layer A layer that changes the shape A layer with parameters A layer with multiple behaviors Development Philosophy What to contribute How to contribute API Reference ¶ If you are looking for information on a specific function, class or method, this part of the documentation is for you. lasagne.layers lasagne.updates Examples Update functions Update modification functions Helper functions lasagne.init Examples Initializers Detailed description lasagne.nonlinearities Detailed description lasagne.objectives Examples Loss functions Aggregation functions Evaluation functions lasagne.regularization Examples Helper functions Penalty functions lasagne.random lasagne.utils Indices and tables ¶ Index Module Index Search Page Next © Copyright 2014–2015, Lasagne contributors. Revision a61b76fd . Built with Sphinx using a theme provided by Read the Docs . Read the Docs v: latest Versions latest stable Downloads pdf htmlzip epub On Read the Docs Project Home Builds Free document hosting provided by Read the Docs ....