Deep Learning (Part 1 v2): Oct - Dec 2017
Reshama Shaikh blog: https://reshamas.github.io
I am on Twitter: https://twitter.com/reshamas
- Directory of fastai and DL terms
- Solving the Most Common Errors
- Fastai FAQs for Beginners
- 🔴 Resources (Blogs Written by fastai Fellows / Research Papers, etc)
- Paperspace setup
- AWS AMI GPU Setup
- Crestle
- Google Cloud GPU Setup for fastai
- Paperspace Docker Container
- Set up personal deep learning box (home computer)
- Microsoft Azure
- manual: bash script for setup
- the CUDA drivers
- Anaconda (special Python distribution)
- Python libraries
- fastai library
- courses
- data
- Other
- tmux on AWS
- Download data using Kaggle CLI
- Download data using Chrome and wget
- Jupyter Notebook Commands & Shortcuts
- http://forums.fast.ai/t/welcome-to-part-1-v2/5787
- http://forums.fast.ai/t/another-treat-early-access-to-intro-to-machine-learning-videos/6826
- Latest coursework
- Version 2: Part 1 v2 (released Jan 2018)
- Version 2: [Part 2 v2] (will be released ~ Jul 2018)
- Older coursework
- Lesson 1
- Lesson 2: resnet34, resnext50
- Lesson 3: CNN Image Intro
- Lesson 4: Structured Neural Net Intro, Language RNN Intro, Collaborative Filtering Intro
- Lesson 5:
- Lesson 6:
- Lesson 7:
- Lesson 1: Random Forests Part 1
- Lesson 2: Random Forests Part 2
- Lesson 3: Preprocessing Data
- Lesson 4: RF Hyperparameters & Feature Importance
- [Lesson 5: ] (courses/ml1/)
- [Lesson 6: ] (courses/ml1/)
- [Lesson 7: ] (courses/ml1/)
- [Lesson 8: ] (courses/ml1/)
- [Lesson 9: ] (courses/ml1/)
- [Lesson 10: ] (courses/ml1/)
- [Lesson 11: ] (courses/ml1/)
- [Lesson 12: ] (courses/ml1/)