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Simon J.D. Prince
MRP: ₹ 7,900
₹ 6,715
₹ 1185 Off
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Get this at ₹ 6,044
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Binding
Hardback
Number of Pages
544
Age Group
All
Language
English
Piracy Free
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Express Delivery
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Book Summary
This non-fiction textbook provides an authoritative, accessible guide to deep learning. It offers a pragmatic balance of theory and practice, with up-to-date coverage of the field’s most relevant ideas and techniques. Designed for readers with a basic background in applied mathematics, including students, engineers, and data scientists, the tone is clear, confident, and encouraging.
The content is organized into short, focused chapters that ease readers into complex topics, with modern advances such as transformers and diffusion models included among the material. Key ideas are first explained in plain language, then formalized with concise mathematics and supporting visuals. Minimal prerequisites, plentiful illustrations, and practice problems are paired with accompanying Python Notebooks for hands-on, interactive learning.
What makes the reading experience distinctive is the careful sequencing: intuition builds before precision, enabling readers to grasp why a model works before worrying about all the details. Readers move through code-friendly explanations that translate theory into small, runnable experiments, making even challenging material approachable and enjoyable.
After finishing, readers gain practical capabilities to design, implement, and assess deep learning systems, build confidence in applying techniques to real problems, and maintain curiosity as the field evolves, leaving them with a lasting sense of possibility and expertise.
Product Details
Author
Simon J.D. Prince
Publisher
Penguin Random House
Number of Pages
544
Language
English
SKU
9780262048644
ISBN
9780262048644
Reading Age
All
Dimensions
21x3.7x23.6cm
Binding
Hardback
MRP: ₹ 7,900
₹ 6,715
₹ 1185 Off