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
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: http://setosa.io/ev/
Parent Site: http://setosa.io/#/
Image Kernels shown in fast.ai http://setosa.io/ev/image-kernels/