Latest Machine Learning Research at UC Berkeley Proposes a Way to Design a Learned Optimizer Using Generative Models of Neural Network Checkpoints

Deep learning methods have been a game-changer in lots of applications. They have been the core components of field advancements in the last decades, from computer vision to language processing. Training a deep neural network on a specific task requires constructing a dataset with many samples. DNN model can then go over the training data […]

The post Latest Machine Learning Research at UC Berkeley Proposes a Way to Design a Learned Optimizer Using Generative Models of Neural Network Checkpoints …

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