MIT : Intro to Deep Learning
First two 2019 lectures for MIT Intro to #DeepLearning now online!
Course schedule: https://lnkd.in/eDW7FTs
Lecture 1: https://lnkd.in/esDcMaP
Lecture 2: https://lnkd.in/epzKtXM
#artificialinteligence #machineleaning #neuralnetworks
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
First two 2019 lectures for MIT Intro to #DeepLearning now online!
Course schedule: https://lnkd.in/eDW7FTs
Lecture 1: https://lnkd.in/esDcMaP
Lecture 2: https://lnkd.in/epzKtXM
#artificialinteligence #machineleaning #neuralnetworks
✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv
neuralRank: Searching and ranking ANN-based model repositories
Paper: https://lnkd.in/edxKPBH
#artificialinteligence #research #machineleaning #neuralnetworks
✴️ @AI_Python_EN
Paper: https://lnkd.in/edxKPBH
#artificialinteligence #research #machineleaning #neuralnetworks
✴️ @AI_Python_EN
https://lnkd.in/edT8m4y #machineleaning
“PyText is a deep-learning based NLP modeling framework built on PyTorch”
For those unfamiliar with the man: Schmidhuber is one of the creators of LSTM. Well worth your time.
https://lnkd.in/dYgXxMm
✴️ @AI_Python_EN
“PyText is a deep-learning based NLP modeling framework built on PyTorch”
For those unfamiliar with the man: Schmidhuber is one of the creators of LSTM. Well worth your time.
https://lnkd.in/dYgXxMm
✴️ @AI_Python_EN