Artificial Intelligence for Humans, Vol 3: Deep Learning and Neural Networks > 인공지능

Chapter 1: Neural Network Basics

Chapter 2: Classic Neural Networks

Chapter 3: Feedforward Neural Networks

Chapter 4: Propagation Training

Chapter 5: Recurrent Neural Networks

Chapter 6: Radial Basis Function Networks

Chapter 7: NEAT and HyperNEAT Neural Networks

Chapter 8: Pruning and Model Selection

Chapter 9: Dropout and Regularization

Chapter 10: Architecting Neural Networks

Chapter 11: Deep Belief Neural Networks

Chapter 12: Deep Convolutional Network

Chapter 13: Modeling with Neural Networks