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-- Chainer stable Tutorials Chainer at a Glance Concepts Walkthrough Examples Neural Net Examples Colab Notebook Examples Awesome Chainer References API Reference Installation ChainerX Documentation Distributed Deep Learning with ChainerMN Export Chainer to ONNX Other API Compatibility Policy Contribution Guide Tips and FAQs Performance Best Practices Upgrade Guide License Community Slack Chat Forums Chainer Docs » Chainer â A flexible framework of neural networks Edit on GitHub Chainer â A flexible framework of neural networks ¶ Chainer is a powerful, flexible and intuitive deep learning framework. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It makes code intuitive and easy to debug. Tutorials Chainer at a Glance Mushrooms â tasty or deadly? Code Breakdown Output Concepts Walkthrough Define-by-Run Variables and Derivatives Links Define your own function Creating Models Optimizer Trainer Trainer Extensions Using GPU(s) in Chainer Type Checks Serializers â saving and loading Customize your own logging Examples Neural Net Examples MNIST using Trainer MNIST with a Manual Training Loop Convolutional Network for Visual Recognition Tasks DCGAN: Generate images with Deep Convolutional GAN Recurrent Nets and their Computational Graph RNN Language Models Word2Vec: Obtain word embeddings Write a Sequence to Sequence (seq2seq) Model Colab Notebook Examples Awesome Chainer References API Reference Variable and Parameter Functions Link and Chains Probability Distributions Optimizers Weight Initializers Training Tools Datasets Iterator Serializers Backends and Devices Utilities Configuring Chainer Debug Mode Visualization of Computational Graph Static Subgraph Optimizations: Usage Static Subgraph Optimizations: Design Notes Caffe Model Support Assertion and Testing Installation Recommended Environments Requirements Install Chainer Uninstall Chainer Upgrade Chainer Reinstall Chainer Run Chainer with Docker FAQ ChainerX Documentation Installation ChainerX Tutorial Limitations Reference Contribution Guide Tips and FAQs Distributed Deep Learning with ChainerMN Installation Tutorial Model Parallel API Reference Export Chainer to ONNX Introduction Module Reference Indices and tables Other API Compatibility Policy Contribution Guide Tips and FAQs Performance Best Practices Upgrade Guide License Indices and tables ¶ Index Module Index Search Page Community Slack Chat Forums Next © Copyright 2015, Preferred Networks, inc. and Preferred Infrastructure, inc. Revision 6cdf0c43 . Built with Sphinx using a theme provided by Read the Docs . Read the Docs v: stable Versions latest stable v7.1.0 v7.0.0 v7.0.0rc1 v7.0.0b4 v7.0.0b3 v7.0.0b2 v7.0.0b1 v6.6.0 v6.5.0 v6.4.0 v6.3.0 v6.2.0 v6.1.0 v6.0.0 v5.4.0 v5.3.0 v5.2.0 v5.1.0 v5.0.0 v4.5.0 v4.4.0 v4.3.1 v4.3.0 v4.2.0 v4.1.0 v4.0.0 v3.5.0 v3.4.0 v3.3.0 v3.2.0 v3.1.0 v3.0.0 v2.1.0 v2.0.2 v1.24.0 Downloads pdf html epub On Read the Docs Project Home Builds Free document hosting provided by Read the Docs ....
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