Mathematics and Deep Learning Architecture
Author: Кришнанду Чаудхури
Printhouse: piter
Series: Programmer's Library
Age restrictions: 16+
Year of publication: 2025
ISBN: 9785446141678
Number of pages: 576
Size: 233х165х30 mm
Cover type: soft
Weight: 889 g
ID: 1721924
The authors explain the mathematics, theory, and principles of building deep learning models, and then demonstrate the application of theory in practice, providing snippets of Python code with detailed comments. In this book, you will journey from the basics of algebra, calculus, and statistics to modern deep learning architectures that have emerged from the latest research.
- 1. The book introduces the fundamental mathematical concepts step by step that will be useful to you as a data specialist.
- 2. Key principles of neural network design.
- 3. Implementation of deep learning in Python using PyTorch.
- 4. Regularization and optimization of inefficient models.
- 5. Discover what happens inside the black box!
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€ 35.59
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