1. INTRODUCTION

2. DESIGN AND ARCHITECTURE OF NEURAL NETWORKS FOR DEEP LEARNING

3. VISION AND SPEECH ON RESOURCE RESTRICTED HARDWARE PLATFORMS

4. LIMITATIONS OF DEEP COMPUTATIONAL MODELS

5. SUMMARY OF SURVEY