Deep Learning Patterns and Practices
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Deep Learning Patterns and Practices
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Narrado por:
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Mark Thomas
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De:
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Andrew Ferlitsch
Acerca de esta escucha
Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production.
In Deep Learning Patterns and Practices you will learn:
- Internal functioning of modern convolutional neural networks
- Procedural reuse design pattern for CNN architectures
- Models for mobile and IoT devices
- Assembling large-scale model deployments
- Optimizing hyperparameter tuning
- Migrating a model to a production environment
The big challenge of deep learning lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Patterns and Practices is here to help. This unique guide lays out the latest deep learning insights from author Andrew Ferlitsch’s work with Google Cloud AI. In it, you'll find deep learning models presented in a unique new way: As extendable design patterns you can easily plug-and-play into your software projects. Each valuable technique is presented in a way that's easy to understand.
About the technology:
Discover best practices, design patterns, and reproducible architectures that will guide your deep learning projects from the lab into production. This awesome audiobook collects and illuminates the most relevant insights from a decade of real world deep learning experience.
About the audiobook:
Deep Learning Patterns and Practices is a deep dive into building successful deep learning applications. You’ll save hours of trial-and-error by applying proven patterns and practices to your own projects. Tested code samples, real-world examples, and a brilliant narrative style make even complex concepts simple and engaging. Along the way, you’ll get tips for deploying, testing, and maintaining your projects.
About the audience:
For machine learning engineers familiar with Python and deep learning.
About the author:
Andrew Ferlitsch is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Historia4.5 out of 5 stars 43
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
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4 out of 5 stars
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Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
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Advanced Algorithms and Data Structures
- De: Marcello La Rocca
- Narrado por: Julie Brierley
- Duración: 23 h y 32 m
- Versión completa
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General4 out of 5 stars 12
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Narración:4 out of 5 stars 9
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Historia4 out of 5 stars 9
As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.
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5 out of 5 stars
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Wonderful audio textbook!
- De Howard_a en 11-02-21
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Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- De: Martin Kleppmann
- Narrado por: Benjamin Lange
- Duración: 20 h y 56 m
- Versión completa
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General5 out of 5 stars 450
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Narración:5 out of 5 stars 328
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Historia5 out of 5 stars 325
Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
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5 out of 5 stars
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Must read for senior+ software engineers
- De Navid v en 05-29-21
De: Martin Kleppmann
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The Deep Learning Revolution
- De: Terrence J. Sejnowski
- Narrado por: Shawn Compton
- Duración: 8 h y 5 m
- Versión completa
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General4.5 out of 5 stars 436
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Narración:4.5 out of 5 stars 367
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Historia4.5 out of 5 stars 366
The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
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5 out of 5 stars
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Probably the best audio book available on Deep Learning
- De Charlie en 03-01-19