This is the 4th in a series of panel discussions in collaboration with Neuromatch Academy, the online computational neuroscience summer school. This is the first of 3 in the deep learning series. In this episode, the panelists discuss their experiences with some basics in deep learning, including Linear deep learning, Pytorch, multi-layer-perceptrons, optimization, & regularization.
Support the show on Patreon for almost nothing. I speak with Tom Griffiths about his “resource-rational framework”, inspired by Herb Simon's bounded rationality and...
Support the show to get full episodes and join the Discord community. Check out my free video series about what's missing in AI and...
Support the show to get full episodes and join the Discord community. As some of you know, I recently got back into the research...