Fastai Deep Learning Course: Version 2

Dates of Course

Deep Learning Version 2 (Oct 2017 to Apr 2018)
- Part 1: Oct - Dec 2017
- Part 2: Mar - May 2018

Forums

Deep Learning Coursework (Version 2)

Part 1 v2 (released Jan 2018)
Part 2 v2 (released May 2018)

Deep Learning Part 1

Lesson 1 wiki Image Recognition
Lesson 2 wiki CNNs
Lesson 3 wiki Overfitting
Lesson 4 wiki Embeddings
Lesson 5 wiki NLP
Lesson 6 wiki RNNs
Lesson 7 wiki CNN Architecture

Deep Learning, Part 2

Lesson 8 Object Detection
Lesson 9 Single Shot Multibox Detector (SSD)
Lesson 10 NLP Classification and Translation
Lesson 11 Neural Translation
Lesson 12 Generative Adverarial Networks (GANS)
Lesson 13 Image Enhancement
Lesson 14 Super Resolution; Image Segmentation with UNET

Deep Learning Lesson Timelines

http://forums.fast.ai/t/part-1-v2-complete-collection-of-video-timelines/11183

Deep Learning 1: My Lesson Notes

Lesson 1
- Lesson 1a: Course Intro
- Lesson 1b: CNN and resnet Architecture
Lesson 2: resnet34, resnext50 CNNs
Lesson 3: CNN Image Intro Overfitting
Lesson 4: Embeddings Embeddings
Lesson 5: NLP
Lesson 6: RNNs
Lesson 7: CNN Architecture

Deep Learning 2: My Lesson Notes

Lesson 8 Object Detection
Lesson 9 Multi-object Detection
Lesson 10 NLP Classification and Translation
- Lesson 10_1
- Lesson 10_2
Lesson 11 Neural Translation
- Lesson 11_1
- Lesson 11_2
[Lesson 12] ()
[Lesson 13] ()
[Lesson 14] ()

Platforms for Using fastai (GPU required) v2

Summary of Cloud GPU Vendors (with billing)

Paperspace setup
AWS AMI GPU Setup
- How to setup fastai in an Amazon AWS region without fastai AMI like in Europe
Crestle
Google Cloud GPU Setup for fastai
Set up personal deep learning box (home computer)
Microsoft Azure
Running fast.ai notebooks with Amazon SageMaker
Docker
- Paperspace Docker Container
- Fastai and Docker
manual: bash script for setup
- the CUDA drivers
- Anaconda (special Python distribution)
- Python libraries
- fastai library
- courses
- data
Other