GateXAIML / Recommended Books

Deep Learning and Neural Networks

Why this subject matters: Deep learning underlies nearly every recent AI breakthrough, from computer vision to large language models — and Deep Learning Engineer / Applied Scientist roles at top companies specifically screen for this depth of understanding.

Beginner

Deep Learning Using Python

S Lovelyn Rose, L Ashok Kumar & D Karthika Renuka

An India-focused introduction that builds deep learning concepts alongside Python implementation — a gentler starting point before moving to denser international texts.

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Practice & problems

Programming PyTorch for Deep Learning

Ian Pointer

A hands-on, project-based guide to building and deploying deep learning models with PyTorch — practical rather than theoretical, good for building real implementation skill.

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In-depth

Deep Learning

Ian Goodfellow, Yoshua Bengio & Aaron Courville

Written by pioneers of the field — the definitive theoretical reference for deep learning, covering the mathematical foundations most applied books skip over.

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Check price before publishing — MIT Press hardcover, often above ₹2,000
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