Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Introduction to Deep Learning: Theory and Practice

Introduction to Deep Learning: Theory and Practice

Mudarakola, Lakshmi Prasad
M, Padmaja

Paperback

General Sociology

ISBN10: 6208438233
ISBN13: 9786208438234
Publisher: LAP Lambert Academic Publishing
Published: Apr 11 2025
Pages: 76
Weight: 0.25
Height: 0.18 Width: 6.00 Depth: 9.00
Language: English
The Deep Learning textbook provides a comprehensive introduction to the field of deep learning-a branch of machine learning focused on algorithms inspired by the structure and function of the brain's neural networks. It covers foundational topics such as linear algebra, probability, and information theory before delving into core deep learning concepts, including neural networks, optimization techniques, and regularization.Advanced topics include convolutional networks, sequence modeling (such as RNNs), generative models, and deep reinforcement learning. The book also explores theoretical foundations and future directions in deep learning research.Written by leading experts, this textbook is widely used in both academia and industry, offering practical insights alongside deep theoretical knowledge. It's ideal for students, researchers, and professionals looking to understand and apply deep learning techniques.

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