0Basics


0Basics (Index of Posts):

No. Read Date Title and Information We Read @
1 2020, Oct, 13 A general survey of 10 DeepLearning trends different from classic machine learning 2020-fall
2 2019, Nov, 3 A general survey 2019-fall Course
3 2019, Jan, 25 GNN Basics I - Deep Learning Advances on Graphs 2019-W1
4 2018, Feb, 20 Survey18- My Survey Talk at UVA HMI Seminar - A quick and rough overview of DNN 2018-me
5 2017, Aug, 31 Generative I - GAN tutorial by Ian Goodfellow 2017-W2
6 2017, Aug, 29 Reinforcement I - Pineau - RL Basic Concepts 2017-W2
7 2017, Aug, 22 Basic17 -Andrew Ng - Nuts and Bolts of Applying Deep Learning 2017-W1
8 2017, Jan, 20 Basic16- DNN to be Scalable 2017-team
9 2017, Jan, 19 Basic16- Basic Deep NN and Robustness 2017-team
10 2017, Jan, 18 Basic16- Basic Deep NN with Memory 2017-team
11 2017, Jan, 12 Basic16- Basic DNN Embedding we read for Ranking/QA 2017-team
12 2017, Jan, 12 Basic16- Basic DNN Reads we finished for NLP/Text 2017-team

A general survey

less than 1 minute read

Presenter Papers Paper URL Our Slides Dr Qi Survey of Recent DeepLearning to 12 Groups / PDF ...

Basic16- DNN to be Scalable

4 minute read

Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...