Python Deep Learning Cookbook > PACKT 원서리스트

Table of Contents

1: PROGRAMMING ENVIRONMENTS, GPU COMPUTING, CLOUD SOLUTIONS, AND DEEP LEARNING FRAMEWORKS
2: FEED-FORWARD NEURAL NETWORKS
3: CONVOLUTIONAL NEURAL NETWORKS
4: RECURRENT NEURAL NETWORKS
5: REINFORCEMENT LEARNING
6: GENERATIVE ADVERSARIAL NETWORKS
7: COMPUTER VISION
8: NATURAL LANGUAGE PROCESSING
9: SPEECH RECOGNITION AND VIDEO ANALYSIS
10: TIME SERIES AND STRUCTURED DATA
11: GAME PLAYING AGENTS AND ROBOTICS
12: HYPERPARAMETER SELECTION, TUNING, AND NEURAL NETWORK LEARNING
13: NETWORK INTERNALS
14: PRETRAINED MODELS