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ci: bump version to 4.0.2
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README.md

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## 🎯 TODO
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- [ ] Add support for stream dataset loading to allow loading large datasets (larger than your RAM)
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- [ ] Add more callbacks
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- [ ] Add more layers
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- [ ] Add more model architecture support
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- [ ] Add cuDNN support to allow the use of GPUs
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- [ ] Visual updates (tabulation of model.summary() parameters calculation, colorized progress bar, etc.)
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- [ ] Add more preprocessing tools
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- [ ] Add cuDNN support to allow the use of GPUs
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## 🐞 Know issues
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- [ ] The transformer has gradient issues (normalization and often constant attention weights after a few epochs)
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- [ ] The save feature of some very rare cases (layers/models) aren't working properly (I just need to read my old code again)
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setup.py

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setup(
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name='neuralnetlib',
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version='4.0.1',
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version='4.0.2',
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author='Marc Pinet',
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description='A flexible deep learning framework built from scratch using only NumPy',
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long_description=open('README.md', encoding="utf-8").read(),

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