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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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06: Non-linear Regression
06: Non-linear Regression
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intuition fitting arbitrary functions
