Juergen Schmidhuber's home page
AI Blog (2023) Search: @SchmidhuberAI What's new? (2021) KAUST (24 papers at NeurIPS 2022) and its environment are now offering enormous resources to advance both fundamental and applied AI research: we are hiring outstanding professors, postdocs, and PhD students. (ERC Grant: Many jobs for PhD students and PostDocs to be hired in 2020. Earlier jobs: 2017, 2016) FAQ in AMA (Ask Me Anything) on red
RECURRENT NEURAL NETWORKS - FEEDBACK NETWORKS - LSTM RECURRENT NETWORK - FEEDBACK NEURAL NETWORK - RECURRENT NETS - FEEDBACK NETWORK - RECURRENT NET - - FEEDBACK NET
1. Our Open Source RNN & LSTM Software Librairies: Brainstorm; RNNLIB; Pybrain. 2. Upcoming RNN Book 3. Old version of this page (2003) LSTM in Journals: Jürgen Schmidhuber's page on Recurrent Neural Networks (updated 2017) Why use recurrent networks at all? And why use a particular Deep Learning recurrent network called Long Short-Term Memory or LSTM? 12. K. Greff, R. Srivastava, J. Koutnik, B. S
Paper by "Deep Learning Conspiracy" in Nature
Critique of Paper by "Deep Learning Conspiracy" (Nature 521 p 436) Jürgen Schmidhuber Pronounce: You_again Shmidhoobuh June 2015 Machine learning is the science of credit assignment. The machine learning community itself profits from proper credit assignment to its members. The inventor of an important method should get credit for inventing it. She may not always be the one who popularizes it. The
Deep Learning in Neural Networks: An Overview
News of August 6, 2017: This paper of 2015 just got the first Best Paper Award ever issued by the journal Neural Networks, founded in 1988. J. Schmidhuber. Deep Learning in Neural Networks: An Overview. Neural Networks, Volume 61, January 2015, Pages 85-117 (DOI: 10.1016/j.neunet.2014.09.003), published online in 2014. Based on Preprint IDSIA-03-14 (88 pages, 888 references): arXiv:1404.7828 [cs.N
DeepMind's Nature Paper and Earlier Related Work
Jürgen Schmidhuber Pronounce: You_again Shmidhoobuh 26 February 2015 (updated April 2015) The first four members of DeepMind include two former PhD students of my research group at the Swiss AI Lab IDSIA. Two additional key members of DeepMind also got their PhD degrees in my lab. Nevertheless, I am not quite happy with DeepMind's recent publication in Nature [2], although three of its authors wer
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