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Can I read Deep Learning : a Practitioner's Approach on EtoBox?

Deep Learning : a Practitioner's Approach by Gibson, Adam;Patterson, Josh is a science book available to read on EtoBox.

What is Deep Learning : a Practitioner's Approach about?

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J. Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem Walk through the fundamentals of tuning general neural networks and specific deep network architectures Use vectorization techniques for dif

Who reads Deep Learning : a Practitioner's Approach?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Gibson, Adam;Patterson, Josh
Publisher
O'Reilly Media; O'Reilly Media, Inc.
Published
2016
Language
EN
ISBN
9781491914236
Category
science
Subjects
Science, Mathematics, Computer Science
Rating
4.2 / 5 (82 ratings)
Updated
2026-03-14

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