Practical Deep Learning in Theano and TensorFlow

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.Access 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…

Link to Full Article: Practical Deep Learning in Theano and TensorFlow

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