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https://github.com/k-karna/tensorflow2_dl

Tensorflow 2: for Deep Learning Specialization | Imperial College London
https://github.com/k-karna/tensorflow2_dl

functional-api model-subclassing python tensorflow2

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Tensorflow 2: for Deep Learning Specialization | Imperial College London

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README

          

#### Tensorflow 2 : Deep Learning Specialization offered by **Imperial College London**
- Module 1: Getting Started with Tensorflow 2
-- Sequential API, validation,regularization, callbacks, early stoppinga and patience, saving and loading model weights, saving and loading architecture, and loading pre-trained models
- Module 2: Customization Your Models with Tensorflow 2
-- Functional API, Data Pipeline, Sequence Modelling - RNNs, Stacked, Bidirectional, stateful, model subclassing, and custom training loops
- Module 3: Probabilistic Deep Learning with Tensorflow 2
-- Probabilistic layers, Bayesian Neural Networks, Bayesian CNN, Bijectors and normalising flows, Variational AutoEncoder, KL Divergence