Enhancements in Elixir's Axon for Machine Learning

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Enhancements in Elixir's Axon for Machine Learning

Source: dockyard.com

Type: Post

The article by Sean Moriarity discusses significant improvements in the Axon library for Elixir, which is used for training machine learning models. The key enhancements include a new model state structure that distinguishes between trainable parameters and model state, reducing memory usage during training. Additionally, mixed precision training has been made more efficient, allowing for faster training and larger batch sizes. Gradient accumulation processes have also been streamlined to improve training performance. The article includes detailed code examples and highlights ongoing and future enhancements such as model quantization and better ergonomics for certain training methods.

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