Download the fantastic book titled Fundamentals of Deep Learning written by Nikhil Buduma, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Fundamentals of Deep Learning", which was released on 25 May 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Fundamentals of Deep Learning by Nikhil Buduma PDF
With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author 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 rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement 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 using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning
Detail About Fundamentals of Deep Learning PDF
- Author : Nikhil Buduma
- Publisher : "O'Reilly Media, Inc."
- Genre : Computers
- Total Pages : 365 pages
- ISBN : 1491925566
- Release Date : 25 May 2017
- PDF File Size : 20,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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