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Teras v0.2.0

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@KhawajaAbaid KhawajaAbaid released this 01 Aug 18:07
· 773 commits to main since this release
ddd47a5
  • Redesign the whole library
  • All the models for classification and regression are now made up of Keras Functional API
  • LayerFlow API now serves as the parent to the default parametric API
  • LayerFlow API now requires all the sub-layers needed for a model or non-atomic layer during instantiation
  • This point above get rids of any discrepancies and assumptions made by the LayerFlow API by trying to plug customized and default layers together, often resulting in errors
  • Make models saving and reloading compatible with the Keras V3 or .keras format
  • This redesign is also a preparation step to make this library fully compatible with Keras Core and hence backend agnostic