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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Amazon.com Price:  $36.08 (as of 22/04/2019 22:29 PST- Details)

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Description

With the reinvigoration of neural networks in the 2000s, deep learning has turn into an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, writer Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.

Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the remainder of us, alternatively, deep learning is still a pretty complex and difficult subject to clutch. If you’re accustomed to Python, and have a background in calculus, in conjunction with a basic understanding of machine learning, this book will get you began.

  • Examine the foundations of machine learning and neural networks
  • Learn how to train feed-forward neural networks
  • Use TensorFlow to enforce your first neural network
  • Manage problems that arise as you begin to make networks deeper
  • Build neural networks that analyze complex images
  • Perform effective dimensionality reduction the use of autoencoders
  • Dive deep into sequence analysis to examine language
  • Understand the fundamentals of reinforcement learning

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