Deep Learning: A Practitioner’s Approach
✍ Scribed by Josh Patterson, Adam Gibson
- Publisher
- O’Reilly Media
- Year
- 2017
- Tongue
- English
- Leaves
- 532
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ 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
📜 SIMILAR VOLUMES
<div><p>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 i
A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better a
<b>A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math.</b> Ever since computers began beating us at chess, they've been getting b
<p>This book shows machine learning enthusiasts and practitioners how to get the best of both worlds by deriving Fisher kernels from deep learning models. In addition, the book shares insight on how to store and retrieve large-dimensional Fisher vectors using feature selection and compression techni