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Introduction to Deep Learning: Theory and Practice

By Mudarakola, Lakshmi Prasad

Product Image: Introduction to Deep Learning: Theory and Practice

Introduction to Deep Learning: Theory and Practice

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Description
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.
Product details
Binding:
Paperback
Number of Pages:
76
Release Date:
2025-04-11
Publication Date:
2025-04-11
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6208438233
ISBN13:
9786208438234
GPSR Manufacturer Reference:
[email protected]
Weight:
131 g
Height:
150 cm
Width:
220 cm
Thickness:
5 cm
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