A vae is a variational autoencoder. An autoencoder is a model (or part of a model) that is trained to produce its input as output. If it had run out of memory earlier in the.
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Trueyou seem to have some misconceptions when it comes to vae. Vae、gan 这种生成模型和 transformer 有什么区别？ 想问问为什么在分子生成中大部分选择使用vae、gan这种生成模型，而不使用transformer进行生成，这两种直接有什么本质的区别吗？ The vae is what gets you from latent space to pixelated images and vice versa.
By giving the model less information to.
