Technical_Links

My list of useful links and notes

Deep Learning

Deep Learning Math Links

1. http://explained.ai/matrix-calculus/index.html

Image Segmentation with Deep Learning

1. Fantastic 2017 Semantic Segmentation Blog from Qure.AI
2. Semantic Segmentation with U-NET by Kerem Turgutlu
3. Receptive-Field Arithmetic for CNN
   1. Compute Receptive Field Of Neuron In Matlab

Deep Learning for Medical Imaging

1. Deep learning blogs/collections of Medical Imaging papers:
   1. Nice summary of papers for various medical imaging tasks
2. Deep Learning Toolkits for Medical Imaging
   1. https://github.com/DLTK/DLTK
   2. https://github.com/Kamnitsask/deepmedic

Machine Learning

Machine learning: Interesting links for future Reading

1. Fantastic blog by Terrence Parr and Jeremy Howard
   1. Beware Default Random Forest Importances
2. Gradient Boosting:
   1. How to Explain Gradient Boosting
   2. Gradient Boosting from Scratch

Other Blogs

Blogs	Github	Medium
Bharath Ramsundar	Bharath Ramsundar
Andrej Karpathy	Andrej Karpathy	Andrej Karpathy
Rohan Varma	Rohan Varma
Anish Athalye	Anish Athalye
Adit Deshpande	Adit Deshpande
[Swetha Tanamala](<https://swethatanamala.github.io/)

How-To

Markdown Help pages

1. Markdown Cheat-sheet
2. Create Collapsible Markdown; as used in this Readme file

Random

Not Deep learning: Interesting links for future Reading

https://docusaurus.io/

http://bamos.github.io/reading-list/

https://medium.com/netflix-techblog/scheduling-notebooks-348e6c14cfd6

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