1. Introduction

2. Data and Methods  
2.1. Convolutional Neural Networks  
2.2. Literature Spectroscopic Redshifts  
2.3. Photometry from DESI Legacy Imaging Survey DR9  
2.4. Spectroscopy  
2.5. Determining Spectroscopic Redshifts  

3. Results  
3.1. Spectroscopic Success Rate with CNN-based Search  
3.2. Spectroscopic Redshifts of Gravitational Lenses  
3.3. Precision of Photometric Redshifts  

4. Discussion  
4.1. Comparison to Previous Lensing Searches  
4.2. Future Science with AGEL Systems  
4.3. High-resolution Imaging with the Hubble Space Telescope  

5. Conclusions