Focuses on established architectures used in industry: , Convolutional Networks (CNNs), and Sequence Modeling (RNNs).
The primary guide for is the seminal textbook " Deep Learning " by Ian Goodfellow, Yoshua Bengio, and Aaron Courville . Published by MIT Press , it is part of the broader Adaptive Computation and Machine Learning series . Core Structure of the Guide Deep learning: adaptive computation and machine...
Provides practical methodology for training and optimizing deep models. Focuses on established architectures used in industry: ,
Introduces fundamental machine learning concepts like capacity, overfitting, and regularization. Convolutional Networks (CNNs)
The aims to unify diverse strands of AI research. Other notable titles in this series include Kevin Murphy's Machine Learning: A Probabilistic Perspective and Elad Hazan's Introduction to Online Convex Optimization .