https://github.com/ski-net/dl_study_with_gluon_2nd
Deep learning to learn while making
Topic | Date/Time | Location | Presentor |
---|---|---|---|
Gluon Introduction | 12/22,17:00 | 분석실 | haven-jeon ,seujung |
Convolution & Transfer Learning | 12/28,17:00 | 분석실 | haven-jeon |
Intro with MNIST(Logistic, FC, CNN),Embedding, Intro Audio Data Analysis | 01/04,18:00 | 분석실 | soohwanjo, soeque1, hongdm7 |
Style Transfer(0h20m), Fashion MNIST(0h10m), Traffic Sign Recognition(0h15m), Intro MXNet(0h10m) | 01/11,18:00 | 분석실 | seujung, haven-jeon, June-H, hyemin15 |
Intro to GAN(0h15m), Intro to VAE(0h30m) | 01/16,18:00 | 분석실 | soeque1, kionkim |
Multi GPU(0h20m), Autoencoder(0h30m), Transfer Learning (0h40m) | 01/25,18:00 | 분석실 | haven-jeon, ljy3795, su-park |
RNNs with Audio Classification(0h30m), CAM with Traffic Sign Classification(0h 20m) | 02/01,18:00 | 분석실 | hongdm7, June-H |
Pix2Pix(0h25m), Deep Matrix Factorization (0h20m) | 02/08,18:00 | 분석실 | soeque1, ljy3795, kionkim |
introduction Deep Learning references | 03/14,12:00 | 분석실 | seujung |
Soft Decision Tree (0h30m), Deep Dream (0h20m) | 02/22,18:00 | 분석실 | kionkim, soohwanjo |
Korean-English Neural Machine Translater(0h40m) | 02/28,18:00 | 분석실 | haven-jeon |
IntegratedGradients (0h20m), BEGAN (0h20m),QA- Multimodal Compact Bilinear Pooling (0h45m) | 03/08,18:00 | 분석실 | kionkim, seujung , hyemin15, soeque1 |
1차 롤 아웃/2차 스터디 계획 수립 | 03/13,12:00 | 분석실 | |
Deep Q-Network(0h30m), Double Deep Q-Network, Policy Gradient | 03/15,18:00 | 분석실 | hongdm7, soohwanjo, June-H |
Anomaly detection w Autoencoder, CapsNet(0h30m) | 03/22,18:00 | 분석실 | ljy3795, kionkim |
relational network, | 03/29,18:00 | 분석실 | seujung |
- Gluon Introduction, 12/22
- Intro mxnet NDArray, Symbol, Model (@hyemin15)
- intro Grad
- intro with MNIST (@soohwanjo)
- Classification model with MNIST (@seujung)
-
Image classification with Convolution (@haven-jeon, cats and dogs )
-
Transfer Leraning (@haven-jeon, cats and dogs classification)
-
CAM and Grad CAM (@haven-jeon, cats and dogs classification)
-
Image classification with MNIST (@soohwanjo)
-
Image classification with 62 classes Traffic Sign (@June-H)
-
Medical Image Segmentation (@supark)
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Super resolution (@soohwanjo)
-
AlexNet
-
ResNet
-
Inception V4
-
DenseNet
-
CapsNet
- Introduction of Audio Data (@hongdm7, Whale Sound Data)
- RNNs with Audio Classification (@hongdm7, Whale Sound Data)
- Stock Price Prediction with Amazon Stock Data (@hyemin15)
- Deep Dream (@soohwanjo)
- neural style transfer (@seujung)
- fast neural style transfer (@seujung)
- pix2pix (@hjkim)
- Sentiment Classification (@supark, 네이버 영화 평점)
- seq2seq (@haven-jeon, Addition model)
- seq2seq with Attention Mechanism (@haven-jeon, Addition model)
- Text Generation(@EVA01)
- Text summarization (@haven-jeon,)
- Korean-English Neural Machine Translater (@haven-jeon)
- simple & conv. Autoencoder (@ljy3795)
- Anomaly detection with Autoencoder (@ljy3795)
- wavenet
- Deep Matrix Factorization (@ljy3795)
- Deep Matrix Factorization -- Fix InnerProduct Calculations (@supark)
- The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification (@kionkim)
- Distilling a Neural Network Into a Soft Decision Tree (@kionkim)
- Introduction to VAE
- Tutorial on Variational Autoencoders (@kionkim)
- Word2Vec (@hjkim, text8)
- relational network (@seujung)
- Visual Question Answering (@kionkim, @hyemin15)
- DQN(Deep Q-Network) (@hongdm7)
- DDQN(Double Deep Q-Network) (@soohwanjo)
- https://github.com/zackchase/gluon-slides/blob/master/sept18-gluon.pdf
- https://github.com/zackchase/mxnet-the-straight-dope
- https://github.com/SherlockLiao/mxnet-gluon-tutorial
- https://github.com/gluon-api/gluon-api
- http:https://blog.creation.net/mxnet-part-1-ndarrays-api#.WjyR21SFiu7