Hands-On Mathematics for deep learning.
Language: English Publication details: Birmingham, UK Packt 2020Description: vii, 349 pages tables, figuresISBN:- 9781838647292
- 006.31 D269
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Libros | CIBESPAM-MFL | 006.31 / D269 (Browse shelf(Opens below)) | Ej: 1 | Available | 006060 | ||
Libros | CIBESPAM-MFL | 006.31 / D269 (Browse shelf(Opens below)) | Ej: 2 | Available | 006061 |
Section 1: Essential Mathematics for Deep Learning
-1. Linear Algebra
-2. Vector Calculus
-3. Probability and Statistics
-4. Optimization
-5. Graph Theory
Section 2: Essential Neural Networks
-6. Linear Neural Networks
-7. Feedforward Neural Networks
-8. Regularization
-9. Convolutional Neural Networks
-10. Recurrent Neural Networks
Section 3: Advanced Deep Learning Concepts Simplified
-11. Attention Mechanisms
-12. Generative Models
-13. Transfer and Meta Learning
-14. Geometric Deep Learning
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