fine-tune fine-tuning Transfer learning transfer learning hands-on deep learning v2

1. Fine-tuning 微调 Transfer learning

Fine-tuning fine-tuning is the most important skill in the entire deep learning field. If the previous knowledge can only choose one, it is fine-tuning. Transfer learning Transfer learning is that you can use the parameters of other successful networks to train a model similar to you. Simply put, reuse.

For detailed knowledge, please refer to: Transfer learning Transfer Learning Guide

2. Code implementation

3. Q&A

• 1. Fine tuning and transfer training are actually the same thing
• 2. The source data set and the target data set are preferably similar, and the fine tuning effect is good.
• 3. The auto-gluon automation framework mainly uses fine-tuning.

reference

https://www.bilibili.com/video/BV1Sb4y1d7CR?p=1