Andrey Kurenkov's blog, written as a grad student in AI, with a history of neural nets and deep learning and notes on research life.
Commenters repeatedly recommend his multi-part history of neural nets and deep learning as a great write-up, with references to the key publications.
cs702, this deck started as a short talk so I didn't have time to acknowledge all the great work leading up to the Google YouTube experiment. Your list is good, and I'd add Rosenblatt for the first perceptron, Rumelhart & McClelland for applying techniques to perception, Werbos for backpropogation, Fukushima for convolutional networks, and so many more.
I found these helpful while researching the history:
http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/
http://www.scholarpedia.org/article/Deep_Learning
What else have you found particularly useful?
I really like this quote from this article:
“I love writing. I get a kick out of sharing my thoughts with others. The act of transforming ideas into words is an amazingly efficient way to solidify and refine your thoughts about a given topic. “
So much so that it is quoted on my own Jekyll-based personal website (http://www.andreykurenkov.com/). I have set up 3 additional site since with Jekyll, all hosted on GitHub, and it's super easy every time.
Assuming you're asking specifically about the history of DL/ML, I can recommend this (4-part) blog series: http://www.andreykurenkov.com/writing/ai/a-brief-history-of-neural-nets-and-deep-learning/. It includes references for the relevant publications that identify problems (e.g., exploding gradients) and their solutions.
I remember an informative article series [1] that was posted here some months ago. Previous discussion on it [2].
[1]: http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/
[2]: https://news.ycombinator.com/item?id=10910887
Great writeup about how deep learning came to be: http://www.andreykurenkov.com/writing/a-brief-history-of-neural-nets-and-deep-learning/ (posted here a few months ago).
The idea of neural networks go back a lot further than CMU.
http://www.andreykurenkov.com/writing/ai/a-brief-history-of-neural-nets-and-deep-learning/