1 INTRODUCTION  
2 DATA FROM THE KILO-DEGREE SURVEY  
2.1 The “full sample”  
2.2 The luminous red galaxy sample  
3 SEARCHING FOR LENSES  
3.1 Training the Convolutional Neural Networks  
3.2 Application to the LRG sample  
4 THE LINKS SAMPLE CANDIDATES  
4.1 Candidate properties  
4.2 Predictions and Prospects: Euclid and LSST  
5 THE FULL SAMPLE CANDIDATES  
5.1 A high-purity sample  
5.2 Small high-purity Euclid & LSST samples  
5.3 The “bonus sample”  
6 DISCUSSION AND CONCLUSIONS