Harald Sack · @lysander07
654 followers · 383 posts · Server sigmoid.social
1997 with the advent of Long Short-Term Memory recurrent #neuralnetworks marks the subsequent step in our brief history of )large) #languagemodels from last week's #ise2023 lecture. Introduced by Sepp Hochreiter and Jürgen Schmidhuber #LSTM #RNNs enabled efficient processing of sequences of data.
Slides: https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link
#nlp #llm #llms #ai #artificialintelligence #lecture @fizise
#neuralnetworks #languagemodels #ise2023 #LSTM #rnns #nlp #llm #LLMs #ai #artificialintelligence #lecture
New Submissions to TMLR · @tmlrsub
190 followers · 648 posts · Server sigmoid.social
Simplifying and Understanding State Space Models with Diagonal Linear RNNs
Knowledge Zone · @kzoneind
224 followers · 1394 posts · Server mstdn.social
#ITByte: The #MachineLearning models having sequential data as input or output are called #SequenceModels.
It includes text streams, video clips, audio clips, time-series data, etc. Recurrent Neural Networks (#RNNs) and Long Short-Term Memory(#LSTM) are popular algorithms used in sequence models.
https://knowledgezone.co.in/trends/explorer?topic=Sequence-Model
#lstm #rnns #sequencemodels #MachineLearning #itbyte
Published papers at TMLR · @tmlrpub
488 followers · 163 posts · Server sigmoid.social
Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning
Matthew Kyle Schlegel, Volodymyr Tkachuk, Adam M White, Martha White
New Submissions to TMLR · @tmlrsub
133 followers · 284 posts · Server sigmoid.socialInvestigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning