サクサク読めて、アプリ限定の機能も多数!
トップへ戻る
Pixel 9
github.com/lucidrains
Learning rate and weight decay: the authors write in Section 5 - Based on our experience, a suitable learning rate for Lion is typically 3-10x smaller than that for AdamW. Since the effective weight decay is lr * λ, the value of decoupled weight decay λ used for Lion is 3-10x larger than that for AdamW in order to maintain a similar strength. The initial value, peak value, and end value in the lea
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pretrained T5 model (attention network). It also contains dynamic clipping for improved classifier free guidance, noise l
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch. Yannic Kilcher summary | AssemblyAI explainer The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the text embedding from CLIP. Specifically, this repository wi
このページを最初にブックマークしてみませんか?
『lucidrains - Overview』の新着エントリーを見る
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く