Prototypical Networks

Some nice links:

1. N-Shot Learning: Learning More with Less Data

• • https://github.com/Hsankesara/Prototypical-Networks

1. Meta-Learning: Learning to Learn Fast

• https://lilianweng.github.io/lil-log/2018/11/30/meta-learning.html

1. Papers:

• https://arxiv.org/pdf/1703.05175.pdf

 

 

BERT Trials

A very simple and up-to-date explanation of BERT

• Painless Fine-Tuning of BERT in Pytorch

View at Medium.com

logging.basicConfig

It was quite interesting for me to learn about the Root Logger  inside python logging package

https://www.pylenin.com/blogs/python-logging-guide/#logging-from-multiple-modules

 

Werkzeug

As I got more and more into Flask, I wanted to understand about Werkzeug.

Some helpful links:

• https://stackoverflow.com/questions/37004983/what-exactly-is-werkzeug
• https://stackoverflow.com/questions/14814201/can-i-serve-multiple-clients-using-just-flask-app-run-as-standalone

Azure ML SDK  uses ngix + gUnicorn  within its docker image:

• https://liupeirong.github.io/amlDockerImage/

 

 

ASP.NET Core web API

Some nice links.

Return Status Codes:

• https://docs.microsoft.com/en-us/aspnet/core/web-api/action-return-types?view=aspnetcore-3.0
• https://docs.microsoft.com/en-us/aspnet/core/web-api/advanced/conventions?view=aspnetcore-3.0
• https://www.talkingdotnet.com/return-http-status-code-from-asp-net-core-methods/

 

Nvidia Drivers

Ubuntu Command line:

https://www.linuxbabe.com/ubuntu/install-nvidia-driver-ubuntu-18-04

Flask RESTful

Found these two posts very useful in understanding the Flask-Restful package

• https://blog.miguelgrinberg.com/post/designing-a-restful-api-with-python-and-flask
• https://blog.miguelgrinberg.com/post/designing-a-restful-api-using-flask-restful