Regularization

Overview of Multi-task Learning

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Overview of Multi-task Learning

Author: Anticoder Column: Optimazer’s Garden https://zhuanlan.zhihu.com/p/59413549 Background: Focusing solely on a single model may overlook potential information that could enhance the target task from related tasks. By sharing parameters to some extent between different tasks, the original task may generalize better. Broadly speaking, as long as there are multiple losses, it counts as MTL, with … Read more

Weight Decay and Regularization in C++ Neural Networks

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Weight Decay and Regularization in C++ Neural Networks

Introduction: The Fantastical World of C++ Neural Networks Today, the wave of AI is sweeping across the globe, and C++ neural networks play an extremely important role in this. From intelligent voice assistants that instantly understand and accurately respond to our needs, to self-driving cars that navigate smoothly on the road with precise perception and … Read more