Class Notes for PyTorch Scholarship Challenge from Facebook 2018/2019 Phase 1 - Deep Learning with PyTorch
WORK IN PROGRESS!!
This repo contains the class notes built by members of #sg-korea and pytorchfbchallengekr slack. All the code base, screenshots and images are taken from the program.
The class notes are available in english and korean. (hopefully)
This is ONLY FOR YOUR REFERENCE PURPOSE. Take time to watch the lectures available in the course. The knowledge you gain from this course will not sink in well if you only refer to class notes.
- Lecture 2 : Introduction to Neural Networks
- Korean : TODO
- English : TODO
- Lecture 3 : Talking PyTorch with Soumith Chintala
- Korean : TODO
- English : TODO
- Lecture 4 : Introduction to PyTorch
- Korean : TODO
- English : TODO (Rough Note by engiecat)
- Lecture 5 : Convolutional Neural Networks
- Korean : TODO
- English : TODO
- Lecture 6 : Style Transfer
- Korean : Class Note
- English : TODO
- Lecture 7 : Recurrent Neural Networks
- Korean : TODO
- English : TODO
- Lecture 8 : Sentiment Prediction with RNNs
- Korean : TODO
- English : TODO
- Lecture 9 : Deploying PyTorch Models
- Korean : TODO
- English : TODO
- Lab - Challenge Project
- Korean : TODO
- English : TODO
2018-11-29: Finished readme.md, published in github.