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Building Neural Networks from Scratch with Python
- Narrated by: Bryan Hughey
- Length: 3 hrs and 50 mins
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Building Neural Networks from Scratch with Python
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Publisher's summary
Unlock the World of Neural Networks in Python!
Ready to dive into AI and machine learning? This guide makes it easy, even if you're a Python pro or a total beginner!
Discover how to:
- Understand the fundamentals of neural networks and their benefits
- Code without drowning in complex math equations
- Become a debugging master for efficient coding and data testing
- Stay updated on the latest tech trends and advancements
- Demystify layers, gradients, and tackle underfitting/overfitting
Transform your coding skills and knowledge with beginner-friendly projects!
Imagine a world where machine learning is accessible to all, including you. This guide will change how you perceive neural networks and propel you confidently into the realm of coding!
Don't miss this opportunity! Master neural networks and make a difference in machine learning. Click "Add to Cart" now!
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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If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
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5 out of 5 stars
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- By Luc on 08-11-23
By: Laurence Moroney
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Deep Learning with Python (Second Edition)
- By: Francois Chollet
- Narrated by: Derek Dysart
- Length: 15 hrs and 1 min
- Unabridged
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Overall3.5 out of 5 stars 12
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Performance4.5 out of 5 stars 10
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Story4 out of 5 stars 10
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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1 out of 5 stars
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Audible version is useless - has no PDF
- By Amazon Customer on 03-04-22
By: Francois Chollet
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Artificial Intelligence & Generative Ai for Beginners
- The Complete Guide
- By: David M. Patel
- Narrated by: A. G. Smith
- Length: 5 hrs and 7 mins
- Unabridged
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Overall4 out of 5 stars 9
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Performance3.5 out of 5 stars 9
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Story3.5 out of 5 stars 9
Latest Update: September 2023 (Updated Generative AI Tools - RunwayML, Claude 2, Ideomatic; Additional Resources). "Generative AI is a new form of creativity that will redefine human expression." – Sam Altman. "Generative AI is the most exciting and terrifying technology ever encountered." – Lex Fridman. Do you want an easy guide to understanding AI? Curious about the hype around generative AI? Looking for ways to use ChatGPT, MidJourney or RunwayML for business & personal gain? If you find yourself nodding in agreement, then this book is exactly for you.
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5 out of 5 stars
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A great introduction to AI
- By Hugues Hung on 04-05-24
By: David M. Patel
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The Language of Deception
- Weaponizing Next Generation AI
- By: Justin Hutchens
- Narrated by: Mike Chamberlain
- Length: 10 hrs and 38 mins
- Unabridged
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Overall5 out of 5 stars 5
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Performance5 out of 5 stars 5
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Story5 out of 5 stars 5
Artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past.
By: Justin Hutchens
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Everything Data Analytics A Beginner's Guide to Data Literacy
- Understanding the Processes That Turn Data Into Insights
- By: Elizabeth Clarke
- Narrated by: Brennan Koenigsreuter
- Length: 3 hrs and 22 mins
- Unabridged
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Overall4.5 out of 5 stars 77
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Performance4.5 out of 5 stars 74
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Story4.5 out of 5 stars 74
With the world going remote, and data science following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information. Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.
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5 out of 5 stars
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Great material for starters
- By Amazon Customer on 08-01-22
By: Elizabeth Clarke
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Data Mesh
- Delivering Data-Driven Value at Scale
- By: Zhamak Dehghani
- Narrated by: Zura Johnson
- Length: 14 hrs and 2 mins
- Unabridged
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Overall4.5 out of 5 stars 6
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Performance4 out of 5 stars 3
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Story4.5 out of 5 stars 3
We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.
By: Zhamak Dehghani
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How to Raise a Healthy Gamer
- End Power Struggles, Break Bad Screen Habits, and Transform Your Relationship with Your Kids
- By: Alok Kanojia MD MPH
- Narrated by: Alok Kanojia MD MPH
- Length: 6 hrs and 15 mins
- Unabridged
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Overall5 out of 5 stars 45
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Performance5 out of 5 stars 43
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Story5 out of 5 stars 43
Whether your goal is to prepare your child for a healthy relationship to technology or to curb unhealthy amounts of time spent gaming, How to Raise a Healthy Gamer will help you better understand, communicate with, and—ultimately—empower your gaming enthusiast to live their best life.
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5 out of 5 stars
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Great voice and message!
- By Shiro on 03-26-24
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Grokking Artificial Intelligence Algorithms
- Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Illustrated Guide Including Exercises and Examples
- By: Rishal Hurbans
- Narrated by: Jeromy Lloyd, Julie Brierley
- Length: 7 hrs and 25 mins
- Unabridged
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Overall3.5 out of 5 stars 7
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Performance3.5 out of 5 stars 6
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Story4 out of 5 stars 6
Grokking Artificial Intelligence Algorithms is a fully illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises.
By: Rishal Hurbans
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The AI Playbook
- Mastering the Rare Art of Machine Learning Deployment (Management on the Cutting Edge)
- By: Eric Siegel
- Narrated by: Eric Siegel
- Length: 9 hrs and 20 mins
- Unabridged
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Overall3.5 out of 5 stars 7
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Performance3.5 out of 5 stars 7
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Story3.5 out of 5 stars 7
The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment.
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5 out of 5 stars
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The most important book on AI
- By Diego Murillo Esquivel on 03-21-24
By: Eric Siegel
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Possible Minds
- Twenty-Five Ways of Looking at AI
- By: John Brockman - editor
- Narrated by: Kathleen McInerney, Will Damron, Jason Culp, and others
- Length: 10 hrs and 39 mins
- Unabridged
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Overall4.5 out of 5 stars 280
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Performance4.5 out of 5 stars 237
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Story4.5 out of 5 stars 231
The fruit of the long history of John Brockman's profound engagement with the most important scientific minds who have been thinking about AI - from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram - Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures are deeply concerned with the threat of AI, including the existential one, while others have a very different view.
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1 out of 5 stars
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The worst book purchase I’ve made in a long while
- By Y. Zhao on 06-07-19
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The Pragmatic Programmer: 20th Anniversary Edition, 2nd Edition
- Your Journey to Mastery
- By: David Thomas, Andrew Hunt
- Narrated by: Anna Katarina
- Length: 9 hrs and 55 mins
- Unabridged
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Overall4.5 out of 5 stars 1,493
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Performance5 out of 5 stars 1,214
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Story4.5 out of 5 stars 1,196
Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.
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5 out of 5 stars
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An excellent and entertaining technical book
- By Amazon Customer on 01-21-20
By: David Thomas, and others
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Artificial Intelligence
- A Guide for Thinking Humans
- By: Melanie Mitchell
- Narrated by: Abby Craden, Melanie Mitchell, Tony Wolf
- Length: 9 hrs and 33 mins
- Unabridged
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Overall4.5 out of 5 stars 368
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Performance4.5 out of 5 stars 316
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Story4.5 out of 5 stars 314
In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.
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5 out of 5 stars
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Start understanding AI right here!
- By Chad M. on 01-26-20
By: Melanie Mitchell
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Life 3.0
- Being Human in the Age of Artificial Intelligence
- By: Max Tegmark
- Narrated by: Rob Shapiro
- Length: 13 hrs and 29 mins
- Unabridged
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Overall4.5 out of 5 stars 5,815
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Performance4.5 out of 5 stars 5,056
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Story4.5 out of 5 stars 5,039
How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there's nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who's helped mainstream research on how to keep AI beneficial.
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3 out of 5 stars
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Irritating
- By Thomas Cotter on 10-25-17
By: Max Tegmark
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Means of Control
- How the Hidden Alliance of Tech and Government Is Creating a New American Surveillance State
- By: Byron Tau
- Narrated by: Sean Patrick Hopkins
- Length: 11 hrs and 6 mins
- Unabridged
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Overall4.5 out of 5 stars 31
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Performance5 out of 5 stars 31
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Story4.5 out of 5 stars 31
For the past five years—ever since a chance encounter at a dinner party—journalist Byron Tau has been piecing together a secret story: how the whole of the internet and every digital device in the world became a mechanism of intelligence, surveillance, and monitoring.
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5 out of 5 stars
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Up to date in an information tsunami world
- By Mark A Vega on 04-23-24
By: Byron Tau
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Grokking Algorithms
- By: Aditya Bhargava
- Narrated by: Derek Lettman
- Length: 3 hrs and 46 mins
- Unabridged
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Overall4.5 out of 5 stars 119
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Performance4.5 out of 5 stars 100
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Story4 out of 5 stars 98
This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
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1 out of 5 stars
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the book is not good in audio format
- By Anonymous User on 01-09-20
By: Aditya Bhargava
What listeners say about Building Neural Networks from Scratch with Python
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Evie Leach
- 02-22-24
Long-Term Learning and Skill Development
Beyond just teaching neural network concepts, a book that fosters long-term learning and skill development by providing resources for further exploration, recommending additional reading materials, or suggesting avenues for practical application and experimentation can empower readers to continue their learning journey beyond the confines of the book.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Morgan Armstrong
- 02-21-24
Performance Optimization
In addition to implementing neural networks, understanding how to optimize their performance is crucial. A book that discusses strategies for improving training speed, reducing memory usage, and optimizing code for deployment can be highly beneficial.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Harrison Adams
- 02-22-24
Community Contributions and Feedback
Books that actively solicit feedback from readers and incorporate community contributions, such as code optimizations, alternative implementations, or additional examples, demonstrate a commitment to continuous improvement and collaborative learning, enhancing the overall value of the resource.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Logan Hyde
- 02-21-24
Supplementary Resources
Look for books that offer supplementary resources such as online tutorials, code repositories, or companion websites with additional exercises, datasets, and updates to keep pace with advancements in the field.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Adam Bryan
- 02-22-24
Practical Problem-Solving Approach
Rather than focusing solely on theory, a book that adopts a problem-solving approach can be particularly appealing. By presenting real-world problems and demonstrating how neural networks can be used to solve them, readers can gain a deeper understanding of the practical applications of these technologies.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Katie Shah
- 02-21-24
Author's Expertise
Assess the author's expertise and credibility in the field of neural networks and Python programming. Books authored by experienced practitioners, researchers, or educators with a strong track record can offer valuable insights and practical advice.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Katherine Allan
- 02-21-24
Real-World Applications
Providing insights into how neural networks are used in real-world applications across various domains, such as computer vision, natural language processing, and reinforcement learning, can make the content more engaging and relevant.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Finlay Coles
- 02-21-24
Error Handling and Debugging
Neural network programming can be prone to errors, especially for beginners. A book that addresses common pitfalls, debugging strategies, and error handling techniques can be invaluable in helping readers troubleshoot their code effectively.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Sophie Dixon
- 02-21-24
Community Support
Books that are supported by an active online community or forums where readers can ask questions, share insights, and collaborate on projects can provide added value beyond the content of the book itself.
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Overall5 out of 5 stars
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Story5 out of 5 stars
- Charlie Holland
- 02-22-24
Advanced Topics for Experienced Practitioners
On the other hand, experienced practitioners may be looking for a book that goes beyond the basics and delves into advanced topics such as generative adversarial networks (GANs), attention mechanisms, or transfer learning. An excellent resource should offer in-depth coverage of these advanced concepts, providing valuable insights and practical techniques for seasoned professionals.
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