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Overview
Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS. What you'll learn: Apply momentum to backpropagation to train neural networksApply adaptive learning rate procedures like AdaGrad, RMSprop, and Adam to backpropagation to train neural networksUnderstand the basic building blocks of TensorFlowBuild a neural network in TensorFlowWrite a neural network using KerasWrite a neural network using PyTorchUnderstand the difference between full gradient descent, batch gradient descent, and stochastic gradient descentUnderstand and implement...
Syllabus
- Introduction and Outline
- Review
- Stochastic Gradient Descent and Mini-Batch Gradient Descent
- Momentum and adaptive learning rates
- Choosing Hyperparameters
- Weight Initialization
- Theano
- TensorFlow
- GPU Speedup, Homework, and Other Misc Topics
- Transition to the 2nd Half of the Course
Instructor
Lazy Programmer Inc.
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