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Neural Networks: Parameter Learning
Unsupervised Feature Learning and Deep Learning
Lecture 11 of 15
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Representation
Batch gradient descent
Gradient descent in practice
Stochastic gradient descent
Exponentially weighted average
Shuffling data
Representation
Architecture
Examples and intuitions #1
Examples and intuitions #2
Parameter learning
Gradient checking
Random initialization
Vectorized implementation
Activation function derivative
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