Andrej Karpathy (@karpathy) “Perceiver IO is good reading/pointers for neural net architectures https://t.co/” — TopicDigg
Andrej Karpathy
@karpathy
I like training large deep neural nets. MTS @ Anthropic. Previously Director of AI @ Tesla, founding team @ OpenAI, PhD @ Stanford.
加入 April 2009
1.1K 正在关注 2.7M 粉丝
Perceiver IO is good reading/pointers for neural net architectures esp w.r.t. encoding/decoding schemes of various modalities to normalize them to & from Transformer-amenable latent space (a not-too-large set of vectors), where the bulk of compute happens.
显示更多
