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Debugging

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Albert Zeyer edited this page Feb 3, 2024 · 8 revisions

Refs:

Analysing neural networks
RETURNN Debugging doc
Stas Bekman - ML debugging
- Understanding Training Loss Patterns
Stas Bekman - The Art of Debugging
Albert Zeyer - debugging wiki
Albert Zeyer - profiling wiki

Toggle table of contents Pages 26

Home
Analysing neural networks
Backend framework comparison
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Debugging
Different ways to import parameters
Distributed Computing Overview
Distributed PyTorch
Distributed TensorFlow
Distributed training experience
HuggingFace audio dataset
Layers which introduce new dynamic sequence lengths
Layers with recurrent hidden state
Layers with special behavior on dynamic spatial axes
Old: Theano Attention Parameters
Old: Theano Sequence to Sequence Learning with RETURNN
Operations on dimension tags
Parameter initialization
Pull Request Guidelines
PyCharm Configuration
PyTorch optimizations
Rec automatic optimization, special behavior of layers
Remote Development and Debugging
RETURNN principles
Special axes
TensorFlow lesser known features

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