Fundamentals of Deep Learning
Designing Next-generation Machine Intelligence AlgorithmsBook - 2017
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; Understand the fundamentals of reinforcement learning.
Publisher: Sebastopol, CA : O'Reilly Media, 2017
Edition: First edition
Branch Call Number: 006.31 BUDUM
Characteristics: xii, 283 pages : illustrations ; 24 cm
Alternative Title: Designing next-generation machine intelligence algorithms