1 INTRODUCTION

2 DEEP LENS SURVEY DATA

3 DEEP LEARNING ARCHITECTURE AND LEARNING METHODS USED

4 TRAINING AND VALIDATION DATA

5 METRIC TO EVALUATE MODEL PERFORMANCE

6 RESULTS AND DISCUSSION

7 CONCLUSIONS