Practical deep learning

Over the last few months I’ve published quite a few articles on deep learning using fastai. While these articles stand on their own, it will be more beneficial for the reader to read them in a certain order. It’ll help them gain a systematic understanding of the concepts instead of jumping from one article to another. This article provides that order and also acts as a place for quick links to all of them.

For more advanced stuff, head on to my second series of articles known as “Deep learning from the foundations, fastai”

Getting started

My first deep learning hackathon

Learning rate and golf

Data augmentations in fastai

Some Applications

Multi-label classification using fastai

Image segmentation with fastai

ML vs DL for tabular data

Some Concepts

How do pretrained models work?

Lessons from my first deep learning hackathon

Mixed precision training using fastai

More Applications

Transfer learning in NLP using fastai

Collaborative filtering using fastai

Image regression using fastai

Sound classification using Images

More Concepts

This thing called Weight Decay

Momentum, Adam’s optimizer and more

Regularization in neural networks

Convolutional Neural Networks

Heatmaps and Convolutional Neural Networks Using Fast.ai