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Learning Deep Learning [WIP!]

Fully Connected Neural Networks

01: Linear Regression
02: Logistic Regression
03: Back Propagation
04: Matrix Notation
05: Gradients and Activation Functions
06: Non-linear Regression
07: Multiple Outputs
08 Regularisation
09: Optimisation Algorithms
10: Training and Tuning Networks

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09: Optimisation Algorithms

09: Optimisation Algorithms#

gradient descent (recap)
stochastic/mini-batch gradient descent
momentum
adam

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08 Regularisation

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10: Training and Tuning Networks

By Jack Roberts

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