Neural Style Transfer in deep learning

1. How to solve face recognition problem with one-shot learning, which uses Siamese Network and Triplet loss function.
2. Face verification problem with binary classification, introduce logistic unit and chi-square norm.

1. Algorithms for object detection.

1. Classic networks like LeNet-5, AlexNet and VGG;
2. Architectures like ResNet and Inception Net to improve performance of CNNs;
3. MobileNets to allow mobile devices to run apps of classifier systems;
4. Transfer Learning and Data Augmentation to start your system faster and make your classifier stronger.