Mathematics Behind Neural Networks - 400 Illustrated Exercises from Algebra to Transformers
- CategoryOther
- TypeE-Books
- LanguageEnglish
- Total size98.2 MB
- Uploaded Byfreecoursewb
- Downloads3
- Last checkedMay. 12th '26
- Date uploadedMay. 12th '26
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Mathematics Behind Neural Networks: 400 Illustrated Exercises from Algebra to Transformers
https://WebToolTip.com
English | April 26, 2026 | ASIN: B0GXX4QN4F | 1294 pages | Epub | 98.20 MB
Mathematics Behind Neural Networks: 400 Illustrated Exercises from Algebra to Transformers is a hands on workbook for readers who want to understand the mathematics inside modern neural networks, one computation at a time.
If you have ever seen a neural network diagram and wanted to know what the numbers are actually doing, this book gives you the answer through worked exercises, clear notation, and structured practice. From scalars and vectors to matrix multiplication, activation functions, backpropagation, optimization, convolutional networks, recurrent networks, embeddings, and transformers, each chapter breaks the subject into concrete calculations you can perform by hand.
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- B0GXX4QN4F.epub (98.2 MB)
- Bonus Resources.txt (0.1 KB)
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