Advanced Neural Networks with Tensorflow [Video]

Advanced Neural Networks with Tensorflow [Video]

Roland Meertens

Get hands-on and understand Advanced Neural Networks with TensorFlow
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Video Description

Neural Networks are at the forefront of almost all recent major technology breakthroughs. The intersection of big data, parallel programming, and AI generated a new wave of Neural Network research. In this course, you will be taken through some of the best uses of Neural Networks using TensorFlow.

You'll explore Deep Reinforcement Learning algorithms such as Generative Networks and Deep Q Learning. You will learn to implement some more complex types of neural networks such as Deep Q Learning with OpenAI Gym, autoencoders, and Siamese neural networks. During the course of the video, you will be working on real-world datasets to get a hands-on understanding of neural network programming. You will also get to train generative models and will learn Autoencoder applications.

By the end of this course, you will have a fair understanding of how you can leverage the power of TensorFlow to train neural networks of varying complexities, without any hassle.

Style and Approach

The course has working examples and helpful advice about using advanced techniques Neural Network with Tensorflow. This practical course is divided into clear byte size chunks so you can learn at your own pace and focus on the areas of most interest to you.

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What You Will Learn

  • Understand how and when to apply autoencoders
  • Generate new images using variational autoencoders
  • Perform encoding MNIST characters in Autoencoders
  • Train and test a Siamese neural network
  • Work with the Omniglot dataset
  • Explore the input and output of different games in OpenAI Gym
  • Develop an autonomous agent in an Atari environment with OpenAI Gym

Authors

Video Details

ISBN 139781788622752
Course Length3 hours 34 minutes
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