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books
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Handbook of Deep Learning Models: Volume One: Fundamentals
By (author) Parag Verma, By (author) Er. Devarasetty Purna Sankar, By (author) Anuj Bhardwaj, By (author) Vaibhav Chaudhari, By (author) Arnav Pandey, By (author) Ankur Dumka
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| book description |
This volume covers a comprehensive range of fundamental concepts in deep learning and artificial neural networks, making it suitable for beginners looking to learn the basics. Using Keras, a popular neural network API in Python, this book offers practical examples that reinforce the theoretical concepts discussed. Real-world case studies add relevance by showing how deep learning is applied across various domains. The book covers topics such as layers, activation functions, optimization algorithms, backpropagation, convolutional neural networks (CNNs), data augmentation, and transfer learning – providing a solid foundation for building effective neural network models. This book is a valuable resource for anyone interested in deep learning and artificial neural networks, offering both theoretical insights and practical implementation experience.
| product details |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 18 Nov 2025
Language |
Format | Digital (delivered electronically)
Pages | 314
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-0404-4388-0
Readership Age |
BISAC | computers / neural networks
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Mason Coile
Paperback / softback
224 pages
was: R 520.95
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A terrifying locked-room mystery set in a remote outpost on Mars.
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An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
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