The Never-Ending Story of Model Training: A New Chapter for Machine Learning

For the past few hours, I’ve been working on training a neural network to translate cat speech into English. I’ve carefully optimized my parameters and tested different network depths, batch sizes, number of epochs, and optimization algorithms. I’m pretty happy with the 92% accuracy rating that I’m getting now, and, with a few more tweaks, I’m confident that I can get to 95% accuracy.

Okay… none of that is true. 

In reality, I’ve spent the past few hours playing while True: learn() a computer game where you take on the persona of a software developer who decides to delve into machine learning in order to better understand his cat.

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