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.

Brief Introduction of Convolutional Neural Network, related architectures and computer vision practice

Delete after finish YOLO algorithm.

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Recording the progress of deploying the NLP project by fastAPI, docker and streamlit.

OC

iOS客户端开发工程师面试题记录~~

Todo List~~~