OpenClassroom
Neural Networks: Vectorized Implementation
Unsupervised Feature Learning and Deep Learning
Lecture 14 of 15
< Previous
Go to Video:
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
Next >