Federated learning is used for distributed training of machine learning algorithms on multiple edge devices without exchanging training data.
An easy-to-understand overview of a Deep Neural Network. Three types of Deep Neural Networks that are popular today.
Edge Intelligence or Edge AI moves AI computing from the cloud to edge devices, where data is generated. This is a key to AI democratization.
Deep learning requires massive amounts of sensitive data. This drives the importance of privacy-preserving deep learning for computer vision.
Vision Processing Unit (VPU) chips are optimized for inference with pre-trained deep learning models, powering computer vision applications.
Face detection is one of the most popular computer vision applications and has greatly benefitted from new deep learning methods.
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