[dekhn]

I guess it's not totally surprising that Dean's undergrad thesis was on training neural networks and the main choice was between or in-graph replication. This is still one of the big issues with TensorFlow today.

One thing most people don't get is that Dean is basically a computer scientist with expertise in compiler optimizations, and TF is basically an attempt at turning neural network speedups into problems related to compiler optimization.

I'd like to thank my undergrad university for hosting my undergrad thesis for 25 years with only 1-2 URL changes. Some interesting details include: Latex2Html held up, mostly, for 25 years and several URL changes. The underlying topic is still relevant (training the weight coefficients of a binary classifier to maximize performance) to my work today, even if I didn't understand gradient descent or softmax at the time.