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  • Koele, Haider

    Language: English

    Published by Independently published, 2025

    ISBN 13: 9798292983415

    Seller: California Books, Miami, FL, U.S.A.

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    £ 20.29

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    Condition: New. Print on Demand.

  • Haider Koele

    Language: English

    Published by Amazon Digital Services LLC - Kdp, 2025

    ISBN 13: 9798292983415

    Seller: PBShop.store US, Wood Dale, IL, U.S.A.

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

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    £ 21.92

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    PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Haider Koele

    Language: English

    Published by Amazon Digital Services LLC - Kdp, 2025

    ISBN 13: 9798292983415

    Seller: PBShop.store UK, Fairford, GLOS, United Kingdom

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

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    £ 19.36

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    PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Haider Koele

    Language: English

    Published by Independently Published, 2025

    ISBN 13: 9798292983415

    Seller: CitiRetail, Stevenage, United Kingdom

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    £ 22.49

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    Paperback. Condition: new. Paperback. Curious about artificial intelligence but feel lost at the first line of code? You're not alone-and this book is here to change that. If you've ever thought, "I want to understand deep learning, but I don't know where to begin," this friendly, beginner-focused guide was written with you in mind.Apache MXNet Deep Learning takes the intimidation out of AI and machine learning. Whether you're completely new to programming or just new to deep learning frameworks, this book offers a warm, approachable path into the powerful world of AI development using Apache MXNet-an open-source deep learning library backed by Amazon and designed for speed, flexibility, and scalability.No Experience? No Worries.This book assumes no technical background and no prior coding knowledge. It walks you through each concept step-by-step, explaining terms in plain English and guiding you with hands-on examples that make learning both clear and rewarding. It's more than a manual-it's your supportive companion in a new and exciting journey.What You'll Learn and Achieve: Understand Deep Learning Basics - Break down complex ideas like neural networks, backpropagation, and activation functions into digestible, beginner-friendly lessons. Build Real Projects with MXNet - Create practical applications like image classifiers, sentiment analysis tools, and predictive models using Python and MXNet's Gluon API. Master the MXNet Ecosystem - Get comfortable with key tools like NDArray, data iterators, and hybridization for efficient model training and deployment. Work With Real-World Data - Learn how to handle datasets, preprocess inputs, and evaluate models in real scenarios. Learn by Doing - Every chapter includes exercises, mini-projects, and checkpoints to help reinforce your progress and celebrate small wins. Mistake-Friendly Learning - We embrace trial and error, and help you troubleshoot, learn, and grow with confidence.Perfect For: Complete beginners eager to learn deep learningStudents, job seekers, or career changers exploring AI and data scienceDevelopers new to MXNet looking for a clear and structured introductionSelf-learners seeking an empowering, project-based approach to machine learningWhy Apache MXNet?While many books focus on TensorFlow or PyTorch, MXNet offers unique advantages for beginners and professionals alike-especially in terms of ease of use, hybrid programming, and native support on AWS. This book helps you unlock its full potential-without the overwhelm.Don't let the fear of complexity hold you back from exploring one of today's most exciting technologies.With Apache MXNet Deep Learning: A Beginner's Step-by-Step Guide, you'll gain not just technical skills, but the confidence to use them creatively and independently. You'll be surprised at how far you can go, and how much fun you'll have getting there. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.