📘 Summary

Deep learning architectures blend configurable layers, activation functions, and optimization strategies to learn hierarchical representations from data. Mastery comes from understanding how to design, train, and evaluate models for your specific problem, while keeping an eye on efficiency, robustness, and interpretability.

Product Details

• Publisher: Pencil Bitz Publications
• Edition: 1st Edition
• Language: English
• Binding: paperback
• Pages:252
• Dimensions: 24 x 18 x 1.5 cm
• Weight: 320g