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Mod1_Capstone Project.ipynb

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Mod1_Capstone Project.pdf

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Mod1_Wk2 Programming Assignment.ipynb

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Mod2_Wk1 Programming Assignment.ipynb

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Module_2_Tracking metrics in custom training loops.ipynb

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README.md

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

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