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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