Neural Networks, Machine Learning, And Image Pr... -

Mathematically rigorous but structured for engineering students.

Requires a solid grasp of linear algebra and probability. Pros and Cons The Good: Clear explanations of complex optimization problems. Logical progression from simple classifiers to deep models. Includes helpful end-of-chapter problems for self-study. The Bad: Neural Networks, Machine Learning, and Image Pr...

Is there a (e.g., 3rd edition) you are looking at? Neural Networks, Machine Learning, and Image Pr...

Covers everything from Bayesian decision theory to CNNs. Neural Networks, Machine Learning, and Image Pr...

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Blends pattern recognition with neural network architectures.