Introduction

This is just an on-going list of other blogs / personal websites I’ve found useful, interesting, well-written, or all of the above.

Feel free to leave a comment and add a blog!


Neural Nets

Andrej Kaparthy

Some good posts on recurrent neural nets in particular.

I am Andrej Karpathy, a PhD student at Stanford working on Deep Learning. My academic website has much more information.

Chris Olah

Chris Olah’s well-known blog has excellent visualizations and clean explanations of neural net architectures.

A wandering machine learning researcher, bouncing between groups. I want to understand things clearly, and explain them well.

Adit Deshpande

Good use of visuals and intuition to explain concepts in deep learning.

I’m a second year undergraduate student currently studying at UCLA. I’m majoring in computer science while also pursuing a minor in Bioinformatics. I’ve had two research internships in my career, one at Boston University and one at the U.S Naval Research Laboratory in Washington D.C.

I’m passionate about applying my knowledge of computer science and machine learning to areas in healthcare where we can really engineer better solutions for helping doctors and taking care of patients.


Speech Technology

Simon King

Good, in-depth information on speech synthesis.

Hi – my name is Simon King and this is my personal website for supporting my teaching. I am the Professor of Speech Processing at the University of Edinburgh, where I teach courses in speech processing and speech synthesis at advanced undergraduate and Masters level.

Eleanor Chodroff

A nice walk through of getting started with Kaldi.

I am a fifth year graduate student in the Cognitive Science department at Johns Hopkins University.

My research focuses on the ability of the mind/brain to utilize fine-grained acoustic information in the representation of phonetic and phonological categories. This draws from the fields of phonetics, speech perception, automatic speech recognition, and phonology.


General

The Synthetic Language Learner

Some nice posts on (deep) automatic speech recognition… good visualizations!

This blog is about modeling cognitive development and cognitive functions, especially early language acquisition. We write about technical, theoretical, methodological or empirical issues regarding the use of machine learning and/or big data in cognitive modeling.

Regular bloggers include members of the Bootphon Project, and we welcome guest posts from other scientists in the vast cognitive science/AI community.

Tim Dettmers

I’ve found his posts on hardware for deep-learning particularly useful.

I am an informatics master student at the University of Lugano, Switzerland where in the coming months I will focus on natural language understanding and more specifically, I will work on deep learning for automatic knowledge base construction from raw text data. Before that I build my own GPU cluster and developed algorithms to speed up deep learning on GPU clusters. During my internship at Microsoft Research I worked on algorithms which make deep learning more memory efficient so that larger networks fit into GPU memory.