
Deep Learning
MIT Press Essential Knowledge Series
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Narrado por:
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Joel Richards
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De:
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John D. Kelleher
Acerca de esta escucha
Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution.
Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning-major trends, possible developments, and significant challenges.
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Deep Learning with PyTorch
- Build, Train, and Tune Neural Networks Using Python Tools
- De: Eli Stevens, Luca Antiga, Thomas Viehmann
- Narrado por: Mark Thomas
- Duración: 15 h y 26 m
- Versión completa
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There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.
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Absolutely not suitable for audio
- De Actionwatcher en 08-15-23
De: Eli Stevens, y otros
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Deep Learning with Python
- De: Francois Chollet
- Narrado por: Mark Thomas
- Duración: 9 h y 55 m
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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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Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
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Deep Learning Patterns and Practices
- De: Andrew Ferlitsch
- Narrado por: Mark Thomas
- Duración: 13 h y 45 m
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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, and migrating a model to a production environment.
De: Andrew Ferlitsch
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Algorithms
- MIT Press Essential Knowledge Series
- De: Panos Louridas
- Narrado por: Jonathan Todd Ross
- Duración: 5 h y 23 m
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After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today's social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google's founding algorithm; and neural networks and deep learning.
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BEWARE - No accompanying PDF!
- De Anonymous User en 01-31-24
De: Panos Louridas
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Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
- De: Hobson Lane, Hannes Hapke, Cole Howard
- Narrado por: Mark Thomas
- Duración: 18 h y 29 m
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Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.
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Don't Waste Your Money on the Audio Version
- De wayne kurtz en 12-11-23
De: Hobson Lane, y otros
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Genius Makers
- The Mavericks Who Brought AI to Google, Facebook, and the World
- De: Cade Metz
- Narrado por: John Lee
- Duración: 9 h y 59 m
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What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.
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difficult listen
- De LEE en 03-17-21
De: Cade Metz
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Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- De: Chip Huyen
- Narrado por: Kathleen Li
- Duración: 15 h
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Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.
De: Chip Huyen
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Advanced Algorithms and Data Structures
- De: Marcello La Rocca
- Narrado por: Julie Brierley
- Duración: 23 h y 32 m
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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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Wonderful audio textbook!
- De Howard_a en 11-02-21
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Why Machines Learn
- The Elegant Math Behind Modern AI
- De: Anil Ananthaswamy
- Narrado por: Rene Ruiz
- Duración: 13 h y 30 m
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We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.
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A great listen, but a physical book is pre appropriate
- De Sameer D. en 11-07-24
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The Master Algorithm
- How the Quest for the Ultimate Learning Machine Will Remake Our World
- De: Pedro Domingos
- Narrado por: Mel Foster
- Duración: 13 h y 3 m
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Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.
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Great book, irritating narration
- De N. G. PEPIN en 09-24-15
De: Pedro Domingos
very good book
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Very understandable explanations
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Great book
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ass kicking good
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As for the book itself, I'm really enjoying the overview this gives on the subject. I bought it alongside the kindle version, and if you must get this narration, please get the printed version as well so you're able to follow what's being said.
Inexperienced narrator on the field
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This book does have a lot of equations, but it was especially helpful to have the narrator explaining what was going on in complex diagrams so I didn’t have to keep flipping back and forth between the text and the figures.
Good performance, but probably need the text to fully grasp what is going on
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Yikes
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