Demystifying Deep Learning: An Introduction to the Mathematics of Neural Networks

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Publisher ‏ : ‎ Wiley-IEEE Press; 1st edition (December 12, 2023)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 256 pages
ISBN-10 ‏ : ‎ 1394205600
ISBN-13 ‏ : ‎ 978-1394205608
Item Weight ‏ : ‎ 1.37 pounds
Dimensions ‏ : ‎ 6 x 0.75 x 9 inches

Deep learning has become one of the most popular and powerful tools in modern artificial intelligence. From image recognition to natural language processing, deep learning has revolutionized many fields. But behind the impressive capabilities of deep learning lies a complex mathematical framework that can be intimidating to newcomers.

In this post, we will break down the mathematics behind neural networks, the building blocks of deep learning, in a way that is easy to understand for beginners. We will cover topics such as linear algebra, calculus, and probability theory, and show how these concepts are used to train and optimize neural networks.

By the end of this post, you will have a solid understanding of the mathematics behind deep learning, and be ready to dive deeper into the world of artificial intelligence. So let’s demystify deep learning and unlock its potential together!
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