BI NMA 04: Deep Learning Basics Panel

August 06, 2021 00:59:21
BI NMA 04: Deep Learning Basics Panel
Brain Inspired
BI NMA 04: Deep Learning Basics Panel

Aug 06 2021 | 00:59:21

/

Show Notes

BI NMA 04:

Deep Learning Basics Panel

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.

Guests

The other panels:

  • First panel, about model fitting, GLMs/machine learning, dimensionality reduction, and deep learning.
  • 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.
  • 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.

 

Timestamps:

 

Other Episodes

Episode 0

June 19, 2019 NaN
Episode Cover

BI 038 Máté Lengyel: Probabilistic Perception and Learning

Show notes: Máté’s Cambridge website.He’s part of the Computational Learning and Memory Group there.Here’s his webpage at Central European University.A review to introduce his...

Listen

Episode 0

November 01, 2021 01:36:08
Episode Cover

BI 118 Johannes Jäger: Beyond Networks

Support the show to get full episodes and join the Discord community. Johannes (Yogi) is a freelance philosopher, researcher & educator. We discuss many...

Listen

Episode 0

October 05, 2018 01:06:25
Episode Cover

BI 012 Niko Kriegeskorte: Black Box, White Box

Mentioned in the show: Follow Niko on twitter @KriegeskorteLab. Visit his lab website. The Cognitive Computational Neuroscience Conference. The review papers we base the...

Listen