• 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
Deep Learning Essentials: Concepts, Algorithms and Techniques

Deep Learning Essentials: Concepts, Algorithms and Techniques

Paperback

General Sociology

ISBN10: 6207469623
ISBN13: 9786207469628
Publisher: LAP Lambert Academic Publishing
Published: Jul 21 2025
Pages: 72
Weight: 0.24
Height: 0.17 Width: 6.00 Depth: 9.00
Language: English
The book Deep Learning Essentials: Concepts, Algorithms, and Techniques provides a comprehensive introduction to the fundamental principles and methodologies of deep learning. It is designed for students, researchers, and professionals seeking to understand the theoretical foundations and practical implementations of modern neural network architectures. The book begins with an overview of machine learning basics, including supervised, unsupervised, and reinforcement learning, and then transitions into the core concepts of deep learning such as perceptrons, activation functions, and backpropagation. The book discusses techniques for regularization, hyperparameter tuning, and transfer learning, enabling efficient training and generalization.

Also from

Srinivasulu, Ch

Also in

General Sociology