Practical Deep Learning in Theano and TensorFlow Course Discount - 75% Off

Build & Understand Neural Networks Using Two of the Most Popular Deep Learning Techniques

The applications of Deep Learning are many, and constantly growing, just like the neural networks that it supports. In this course, you'll delve into advanced concepts of Deep Learning, starting with the basics of TensorFlow and Theano, understanding how to build neural networks with these popular tools. Using these tools, you'll learn how to build and understand a neural network, knowing exactly how to visualize what is happening within a model as it learns.

Over 23 lectures & 3 hours of programming 24/7
Discover batch & stochastic gradient descent, two techniques that allow you to train on a small sample of data at each iteration, greatly speeding up training time
Discuss how momentum can carry you through local minima
Learn adaptive learning rate techniques like AdaGrad & RMSprop
Explore dropout regularization & other modern neural network techniques
Understand the variables & expressions of TensorFlow & Theano
Set up a GPU-instance on AWS & compare the speed of CPU vs GPU for training a deep neural network
Look at the MNIST dataset & compare against known benchmarks

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