Take deep learning to the next level with SGD, Nesterov momentum, RMSprop, Theano, TensorFlow, and using the GPU on AWS.
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What Will I Learn?
Apply momentum to backpropagation to train neural networks
Apply adaptive learning rate procedures like AdaGrad and RMSprop to backpropagation to train neural networks
Understand the basic building blocks of Theano
Build a neural network in Theano
Understand the basic building blocks of TensorFlow
Build a neural network in TensorFlow
Build a neural network that performs well on the MNIST dataset
Understand the difference between full gradient descent, batch gradient descent, and stochastic gradient descent
Understand and implement dropout regularization in Theano and TensorFlow
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