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RETURNN documentation

RETURNN documentation

Getting Started

Installation
Basic Usage
RETURNN frontend
Technological Overview
Tensor and Dim
Recurrency
Training
Native operations
RETURNN as Framework
Recent development of RETURNN
TensorFlow LSTM Benchmark
Frequently Asked Questions

User Guide

Network Structure
Dataset Input/Output
Recurrent Sub-Networks
Extending RETURNN

Reference

Configuration Parameters
Datasets
Layers / Modules
Optimizer

Advanced Topics

Pre-Training / Dynamic Networks
Multi GPU training with PyTorch
Multi GPU training with TensorFlow
Debugging
Profiling (Python generic)
Profiling (PyTorch)
Profiling (TensorFlow)
Deterministic training
Test suite

Applications

Speech Recognition
Language Modelling
Machine Translation

Internals

API
TensorFlow Beam Search

`returnn.tf.util`¶

Here we provide some basic TF utilities, which are mostly independent from RETURNN.

returnn.tf.util.basic

returnn.tf.updater

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