Fundamentals of Deep Learning is popular PDF and ePub book, written by Nikhil Buduma in 2017-05-25, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Fundamentals of Deep Learning can be Read Online from any device for your convenience.
Fundamentals of Deep Learning Book PDF Summary
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 Book of Fundamentals of Deep Learning PDF
- Author : Nikhil Buduma
- Release : 25 May 2017
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781491925560
- Genre : Computers
- Total Page : 272 pages
- Language : English
- PDF File Size : 16,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Fundamentals of Deep Learning by Nikhil Buduma, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.