Part of the 100 Days of ML Challenge. Instructions Here for anyone that wants to join: https://github.com/llSourcell/100_Days_of_ML_Code

Go To paperspace repo

cd fastai

jupyter notebook

go to url generated by jupyter notebook, replacing the localhost with the PaperSpace Machine's IP

On new machine may need to run sudo ufw allow 8888 to allow traffic on port 8888, run that if jupyternotebook is not accepting requests on port 8888

Fast AI Repo

Fast AI Setup

PaperSpace

Kaggle API

Copy File To PaperSpace

Create Validation Set For Fast AI

https://chrome.google.com/webstore/detail/curlwget/jmocjfidanebdlinpbcdkcmgdifblncg/related

Take a look at this link from Twitter. Lots of Machine Learning info from Google Engineer: https://docs.google.com/presentation/d/1kSuQyW5DTnkVaZEjGYCkfOxvzCqGEFzWBy4e9Uedd9k/preview?imm_mid=0f9b7e&cmp=em-data-na-na-newsltr_20171213&slide=id.g168a3288f7_0_58

Lots of cool visual explanations: https://setosa.io/ev/

Parent Site: https://setosa.io/#/

Image Kernels shown in fast.ai https://setosa.io/ev/image-kernels/

Validation Sets