1. INTRODUCTION

2. DESIGN AND ARCHITECTURE OF NEURAL NETWORKS FOR DEEP LEARNING

3.2 Deep learning in speech recognition

3.3 Datasets for vision and speech applications

3.4 Deep learning in commercial vision and speech applications

4. VISION AND SPEECH ON RESOURCE RESTRICTED HARDWARE PLATFORMS

5.1 Intelligence in behavioral science

5.2 Intelligence in transportation

5.3 Intelligence in medicine

6. LIMITATIONS OF DEEP COMPUTATIONAL MODELS

7. SUMMARY OF SURVEY