Deep Learning in Focus : Understanding Neural Networks Through Intuition and Simplicity
Language: English
Published by Notion Press, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 30.35
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence is transforming the world, and at the center of this revolution lies Deep Learning - the technology powering computer vision, large language models, autonomous systems, recommendation engines, and generative AI. Yet for many learners, understanding deep learning can feel intimidating. Most books focus heavily on complex mathematics, lengthy derivations, or implementation without building intuition. Deep Learning in Focus was written with a different philosophy: intuition first. This book helps readers understand why neural networks work through clear explanations, visual understanding, and simple mathematics before getting lost in complexity. Inside, you will learn how neural networks learn through forward and backpropagation, gradient descent and optimization, modern optimizers such as Momentum, AdaGrad, RMSProp, and Adam, activation functions, regularization techniques including L1, L2, Dropout, and Early Stopping, stable training methods like Batch Normalization and Weight Initialization, and core ideas behind generalization, overfitting, validation, and hyperparameter tuning. Unlike traditional textbooks, this book focuses on the essential theory of deep learning, explained in a clear, concise, and approachable way. Whether you are a student, AI enthusiast, or machine learning beginner, this book offers a focused path toward building strong intuition. Deep learning is powerful - understanding it should not be complicated. …
Seller Inventory # 9798905609046
- Title
- Deep Learning in Focus : Understanding Neural Networks Through Intuition and Simplicity
- Author
- Debstuti Das
- Publisher
- Notion Press
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798905609046
- Item weight
- 435 grams
- Dimensions
- 229x152x16 mm
Artificial Intelligence is transforming the world, and at the center of this revolution lies Deep Learning - the technology powering computer vision, large language models, autonomous systems, recommendation engines, and generative AI. Yet for many learners, understanding deep learning can feel intimidating. Most books focus heavily on complex mathematics, lengthy derivations, or implementation without building intuition. Deep Learning in Focus was written with a different philosophy: intuition first. This book helps readers understand why neural networks work through clear explanations, visual understanding, and simple mathematics before getting lost in complexity. Inside, you will learn how neural networks learn through forward and backpropagation, gradient descent and optimization, modern optimizers such as Momentum, AdaGrad, RMSProp, and Adam, activation functions, regularization techniques including L1, L2, Dropout, and Early Stopping, stable training methods like Batch Normalization and Weight Initialization, and core ideas behind generalization, overfitting, validation, and hyperparameter tuning. Unlike traditional textbooks, this book focuses on the essential theory of deep learning, explained in a clear, concise, and approachable way. Whether you are a student, AI enthusiast, or machine learning beginner, this book offers a focused path toward building strong intuition. Deep learning is powerful - understanding it should not be complicated.
"Synopsis" may belong to another edition of this title.
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