Inside Deep Learning: Math, Algorithms, Models by Edward Raff (Author)

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 49259
Number of Pages: 600

Rs.1,195.00

Rs.1,450.00

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Description

"Inside Deep Learning: Math, Algorithms, Models" by Edward Raff delves into the intricate world of deep learning, offering a comprehensive exploration of its fundamental components. Through a lucid narrative, Raff unravels the complex interplay between mathematics, algorithms, and models that underpin deep learning systems. With a keen eye for clarity, he elucidates the mathematical principles that serve as the backbone of deep learning, making them accessible even to readers with limited mathematical background. From linear algebra to calculus, Raff navigates through the mathematical terrain with precision, illustrating how these concepts converge to fuel the innovation driving modern artificial intelligence.

In addition to deciphering the mathematical underpinnings, Raff meticulously dissects the algorithms and models that form the heart of deep learning. By dissecting popular algorithms such as neural networks and convolutional neural networks, he unveils their inner workings, demystifying their mechanisms for readers eager to comprehend the magic behind the algorithms. Moreover, Raff offers insightful perspectives on various deep learning models, from recurrent neural networks to generative adversarial networks, providing readers with a holistic understanding of the diverse landscape of deep learning architectures. "Inside Deep Learning" serves as an indispensable guide for both novice enthusiasts and seasoned practitioners seeking to unravel the enigma of deep learning.

Key Points:

Lucid explanation of mathematical principles underlying deep learning.
Detailed analysis of popular deep learning algorithms such as neural networks and convolutional neural networks.
Comprehensive coverage of diverse deep learning models, including recurrent neural networks and generative adversarial networks.

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Writer ✤ Edward Raff (Author)

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