Google’s Jeff Dean’s undergrad senior thesis on neural networks (1990) [pdf]
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.<p>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.<p>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.