Deep Learning is a trending buzzword in the Machine Learning environment. All the major players in Silicon Valley are heavily investing in these topics and US universities are improving their courses offer.
I’m really interested in artificial intelligence both for fun and for work and I spent a few hours in the last weeks searching for best MOOCs about this topic. I found only a few courses but they are from the most notable figures in Deep Learning and Neural Networks environment.
Stanford University on Coursera, Andrew Ng
Andrew Ng is Chief Scientist at Baidu Research since 2015, founder of Coursera and Machine Learning lecturer at Stanford University. He also founded the Google Brain project in 2011. His Machine Learning (CS229a) course at Stanford is quite mythical and, obviously, was my starting point.
Machine Learning, Coursera
Neural Networks for Machine Learning
University of Toronto on Coursera, Geoffrey Hinton
Geoffrey Hinton is working at Google (probably on Google Brain) since 2013 when Google acquire his company DNNResearch Inc. He is a cognitive psychologist most noted for his work on artificial neural networks. His Coursera course on Neural Networks is related to 2012 but seem to be one of the best resource about these topics.
Neural Networks for Machine Learning, Coursera
Deep Learning (2015)
New York University on TechTalks, Yann LeCun (videos on techtalks.tv)
In 2013 LeCun became the first director of Facebook AI Research. He is well known for his work on optical character recognition and computer vision using convolutional neural networks (CNN), and is a founding father of convolutional nets. 2015 Deep Learning course at NYU is the last course about this topic hold by him.
Yann LeCun. CIFAR NCAP pre-NIPS’ Workshop. Photo: Josh Valcarcel/WIRED
Big Data, Large Scale Machine Learning
New York University on TechTalks, John Langford and Yann LeCun
Another interesting course about Machine Learning hold by LeCun and John Langford, researcher at Yahoo Research, Microsoft Research and IBM’s Watson Research Center.
John Langford, NYU
Deep Learning Courses
NVIDIA Accelerated Computing
This is not a college course. NVIDIA was one of the most important graphic board manufacturer in the early 2000s and now, with the experience of massive parallel computer on GPUs, is heavily investing in Deep Learning. This course is focused on usage of GPUs on most common deep learning framework: DIGITS, Caffe, Theano and Torch.
Deep Learning Courses, NVIDIA
Mastering Apache Spark
Mike Frampton, Packt Publishing
Last summer I had the opportunity to collaborate in review of this title. Chapter about MLlib contains a useful introduction to Artificial Neural Networks on Spark. Implementation seems still young but is already possible to distribute the network over a Spark cluster.
Mastering Apache Spark
Vincent Vanhoucke, Google, Udacity
Google, a few days ago, releases on Udacity a Deep Learning course focused on TensorFlow, its deep learning tool. It’s the first course officially sponsored by a big companym is free and seems a great introduction. Thanks to Piotr Chromiec for pointing 🙂