Practical Deep Learning, 2nd Edition 303261
Код товару: 303261Паперова книга
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ISBN978-1718504202
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Бренд
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Автор
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Рік2025
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МоваАнглійська
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ІлюстраціїЧорно-білі
Practical Deep Learning, 2nd Edition is your gateway into AI, equipping you with the knowledge and confidence to build powerful AI models using the latest architectures and techniques.
If you’ve been curious about artificial intelligence and machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further.
All you need is basic familiarity with computer programming and high school math—the book will cover the rest. After an introduction to Python, you’ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models’ performance.
About the Author
Ronald T. Kneusel is a computer scientist, an expert in machine learning, and a lover of fine craft beers. Kneusel has been working with machine learning in industry since 2003 and completed a PhD in machine learning from the University of Colorado, Boulder, in 2016. He’s the author of many books with No Starch Press: How AI Works (2023), Strange Code (2022), and Math for Deep Learning (2021).
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Інші книги No Starch Press
Характеристики
- Бренд
- Автор
- КатегоріяПрограмування
- Рік2025
- Сторінок584
- Формат165х235 мм
- ОбкладинкаМ'яка
- Тип паперуОфсетний
- МоваАнглійська
- ІлюстраціїЧорно-білі
Від видавця
Practical Deep Learning, 2nd Edition is your gateway into AI, equipping you with the knowledge and confidence to build powerful AI models using the latest architectures and techniques.
If you’ve been curious about artificial intelligence and machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further.
All you need is basic familiarity with computer programming and high school math—the book will cover the rest. After an introduction to Python, you’ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models’ performance.
About the Author
Ronald T. Kneusel is a computer scientist, an expert in machine learning, and a lover of fine craft beers. Kneusel has been working with machine learning in industry since 2003 and completed a PhD in machine learning from the University of Colorado, Boulder, in 2016. He’s the author of many books with No Starch Press: How AI Works (2023), Strange Code (2022), and Math for Deep Learning (2021).
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