Imagine you’re a machine learning practitioner and you want to solve some classification problem, like classifying groups of colored squares as being either 1s or 0s. Here’s what you would ...
The third in a weekly-ish series where I revisit the fast.ai book, “Deep Learning for Coders with fastai & PyTorch”, and provide commentary on the bits that jumped out to me chapter by ...
This virtual reinforcement learning workshop will feature talks covering this topic, from statistics to neuroscience, from computer science to control.
After reading this post, you should have a good understanding of computer vision without a strong technical background and you should know the steps needed to solve a computer vision ...
The American Association for the Advancement of Science, the world’s largest general scientific society, has named Allen School professor emeritus Pedro Domingos and professor …
Neural tangent kernels are a useful tool for understanding neural network training and implicit regularization in gradient descent. But it's not the easiest concept to wrap your head ...