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

✍ Scribed by Nikhil Buduma, Nicholas Locascio

Publisher: O’Reilly Media
Year: 2017
Tongue: English
Leaves: 298
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research that is paving the way for modern machine learning. This book uses exposition and examples to help you understand major concepts in this complicated field.

Large companies such as Google, Microsoft, and Facebook have taken notice, and 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 have a basic understanding of what machine learning is, have familiarity with the Python programming language, and have some mathematical background with calculus, this book will help you get started.

✦ Subjects

Data Modeling & Design;Databases & Big Data;Computers & Technology;Data Mining;Databases & Big Data;Computers & Technology;Data Processing;Databases & Big Data;Computers & Technology;Database Storage & Design;Computer Science;New, Used & Rental Textbooks;Specialty Boutique

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