Click on the above“Beginner Learning Vision”, select to add Star or Top” Essential insights delivered in real-time This is for academic sharing only and does not represent the views of this public account. Contact for removal in case of infringement.Reprinted from: New Intelligence Source The Transformer architecture has swept across multiple fields including natural language … Read more
Author丨New Intelligence Source丨New Intelligence Editor丨Extreme City Platform Extreme City Guide What factors affect the ability of neural networks to fit data?Are CNNs always worse than Transformers?What magical effects do ReLU and SGD have?Recently, a work involving LeCun has shown us how flexible neural networks are in practice. Artificial intelligence is flourishing today; large models dominate … Read more
From | DataWhale Training techniques are very important for deep learning. As a highly experimental science, even the same network architecture trained with different methods can yield significantly different results. Here, I summarize my experiences from the past year and share them with everyone. I also welcome additions and corrections. Parameter Initialization Any of the … Read more
Click on the “Datawhalee” above to select the “Starred“ public account Get valuable content at the first time Training techniques are very important for deep learning. As a highly experimental science, using different training methods on the same network structure can yield significantly different results. Here, I summarize my experiences from the past year and … Read more
Author: Jeremy Jordan Translation by Machine Heart Contributors: Huang Xiaotian, Xu Di Every machine learning researcher faces the challenge of hyperparameter tuning, and during this tuning process, the adjustment of the learning rate is a crucial part. The learning rate represents the speed at which information accumulates over time in a neural network. Ideally, we … Read more