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Neural Networks & Deep Learning
Neural Networks
The fundamental building blocks of Deep Learning
Activation Functions
The non-linear transformations that power neural networks
BackPropagation
Fundamental technique to adjust weights using chain rule
Autoencoder
A generative model to compress and reconstruct data
Variational Autoencoder
Advanced Autoencoder with probabilistic modeling