In-Depth Analysis of Invertible Neural Networks: Making Neural Networks Lighter
Source: PaperWeekly This article is about 4600 words long, and it is recommended to read it in 10 minutes. This article analyzes the reversible residual networks as the basis. Why Use Reversible Networks? Because both encoding and decoding use the same parameters, the model is lightweight. The reversible denoising network InvDN has only 4.2% of … Read more