1 INTRODUCTION

2 MACHINE LEARNING TO CLASSIFY LARGE SURVEY SPECTROSCOPY

2.1 Training / test data

3 TESTING / TRAINING THE CNN

3.1 Training

3.2 Testing

4 GLOBAL APPLICATION OF THE CNN

4.1 CV-related cartons in SDSS-V

4.2 All targets in SDSS-V

4.3 Biases and CNN performance

5 CVs FOUND IN SDSS-V

6 DISCUSSION

6.1 Effectiveness of the different CV targeting strategies within SDSS-V

6.2 Space density

7 CONCLUSIONS