Sign inOpen the app
Brain Inspired

BI NMA 01: Machine Learning Panel

Jul 12, 2021 · 1 hr 27 min · 84.0 MB
0:00-1:27:12

Streams straight from the publisher. podnod never proxies or re-hosts episode audio.

Open in podnod

Panelists:

This is the first in a series of panel discussions in collaboration with Neuromatch Academy, the online computational neuroscience summer school. In this episode, the panelists discuss their experiences with model fitting, GLMs/machine learning, dimensionality reduction, and deep learning.

Other panels:

  • Second panel, about linear systems, real neurons, and dynamic networks.
  • Third panel, about stochastic processes, including Bayes, decision-making, optimal control, reinforcement learning, and causality.
  • Fourth panel, about basics in deep learning, including Linear deep learning, Pytorch, multi-layer-perceptrons, optimization, & regularization.
  • Fifth panel, about “doing more with fewer parameters: Convnets, RNNs, attention & transformers, generative models (VAEs & GANs).
  • Sixth panel, about advanced topics in deep learning: unsupervised & self-supervised learning, reinforcement learning, continual learning/causality.