GunhoChoi / Pytorch Fastcampus
PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료
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PyTorch FastCampus
PyTorch로 시작하는 딥러닝 입문 CAMP (www.fastcampus.co.kr/data_camp_pytorch/) 1,2기 강의자료
Requirements
- python 3.6
- Pytorch 0.3.1 (http://pytorch.org/)
- Numpy
- matplotlib
Optional
PyTorch & Jupyter Notebook
설치방법- AWS p2.xlarge(Tesla K80 GPU)
- CUDA 8.0
- CuDNN 5.1
- Anaconda(https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/)
- PyTorch
- Jupyter Notebook
강의자료
Deep Learning & PyTorch
1강Linear Regression & Neural Network
2강Convolutional Neural Network - Basic
3강Convolutional Neural Network - Advanced
4강Recurrent Neural Network - Basic
5강Problem & Solutions
6강Transfer Learning
7강AutoEncoder & Transposed Convolution
8강Generative Adversarial Networks
9강Deep Learning Applications
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