Notes

This page is used to collect notes. I use this to share relevant notes, links and documents with my friends and colleagues. Feel free to browse them. If you landed on this page looking for specific information or link and could not find it then please let me know: adi.prakash.ml [at] gmail [dot] com.

Talks & presentations

These are the presentations or class slides for the seminar talks or classroom lectures I have given. These are the most requested urls, and main reason for creation of this page. The full CS 175 lecture series (with PDFs) lives at CS 175 - Deep Learning.

• Building Blocks of Deep Learning - Apr 9, 2018
• Computer Vision with Convolutional Neural Networks - Apr 11, 2018
• Neural Networks and Deep Learning - May 2, 2016
• Visual Question Answering - Aug 12, 2016
• Deep Learning and CNN - Feb 22, 2016 (very basics of deep learning and CNN, meant as a gentle introduction to the field)
• General purpose GPU Computing and CUDA - Nov 30, 2015
• RNN, LSTM, NTM, GRU, RMVA, OMG !! - Nov 18, 2015
• Value of a feature - Oct 19, 2015
• Why CNN works - Oct 7, 2015
• Deeper inside CNN - Sep 29, 2015
• Inside CNN - Sep 16, 2015

Browse by topic

• AI & Machine Learning

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  Deep Learning · Machine Learning · Learning · Papers · Research notes · Features · AlphaGo · NN Hardware · GPU Hardware & Infrastructure · Medical · Paper summaries · Keeping up to date

• Computer Vision & Imaging

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  Computer Vision · Image Processing · Image Compression

• Computer Science

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  Algorithms · Programming · Python · Linux · Visualization · New machine · Misc

• Mathematics

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  Maths · Probability & Statistics · Quantitative trading · Prep

• Teaching & Talks

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  CS 175 - Deep Learning · Deep learning coding tutorial

• Personal & Misc

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  Books · Reading lists · Chess · Climbing · Quotes · Writing · Productivity · My name · Playground · Startup · Research wiki · Older notes

Study notes in depth

• Deep Learning - collection of articles, code, repos, tutorials and other links which I have found useful, with subpages on best practices, AI alignment, courses, dialogue, generative networks, meta learning and books.
• Machine Learning - similar stuff, but for machine learning.
• Papers - collection of great papers in computer science in general, and machine learning in specific.
• Research - notes related to my work and papers I am reading: Visual Question Answering, Transfer Learning, Convolutional Neural Networks, compression, memory networks and text simplification.
• GPU Hardware & Infrastructure - notes related to GPU clusters, my experiences with building one, and the latest in the field.
• Data Structures and Algorithms - references, tutorials and links I point my students from CS 180 to.
• Programming - programming references, articles, competitions and learning resources.
• Image Processing and Computer Vision - articles and tutorials on image processing and old-school computer vision; deep learning work lives under Deep Learning.
• Probability And Statistics - great articles, tutorials and very useful links.
• Others (maths) - tutorials, articles and useful links in other areas of maths.
• AlphaGo - about AlphaGo, how it works, and its matches against Lee Sedol.

Around the web

Blogroll

• http://karpathy.github.io/
• http://benanne.github.io/
• http://iamtrask.github.io/
• http://rocknrollnerd.github.io/
• https://chrisjmccormick.wordpress.com/
• http://www.wildml.com/
• https://recommend-papers.org/
• http://inverseprobability.com/blog.html
• https://svail.github.io/
• http://randomekek.github.io/
• http://blog.kaggle.com/
• http://www.erogol.com/

Blog aggregators

• http://mlwave.com/
• http://www.kdnuggets.com/

Awesome lists

• Awesome Deep Vision
• Awesome Deep Learning
• Awesome Machine Learning
• Awesome Python
• Awesome Linux
• Awesome list of awesome lists

Cheatsheets

• IPython
• LaTeX
• Oh-My-Zsh
• Linux
• Git

All note pages

algorithms alphago books chess climbing computer_vision CS175 deep_learning deep_learning_coding_tutorial features hardware image_compression image_processing learning linux machine_learning maths medical misc name new_machine nn_hardware older notes papers playground prep probability_statistics productivity programming python quantitative_trading quotes read research research_wiki startup visualization writing practical temp