BI NMA 04: Deep Learning Basics Panel @braininspired
BI NMA 04: Deep Learning Basics Panel  @braininspired
Uploaded August 2021 | Updated September 2026, 1 minute ago
Show notes: braininspired.co/podcast/nma-4
Patreon support: patreon.com/braininspired

Panelists:

Amita Kapoor
Lyle Ungar
Surya Ganguli

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, and regularization.
BI NMA 04: Deep Learning Basics PanelBI 126 Randy Gallistel: Where Is the Engram?BI 185 Eric Yttri: Orchestrating BehaviorBI 229 Tomaso Poggio: Principles of Intelligence and LearningPerspective Neuroscience  Big Picture ConversationBI 121 Mac Shine: Systems NeurobiologyBI 141 Carina Curto: From Structure to DynamicsBI 202 Eli Sennesh: Divide-and-Conquer to PredictBifurcation in neuroscienceBI 161 Hugo Spiers: Navigation and Spatial CognitionBI 171 Mike Frank: Early Language and CognitionBI 181 Max Bennett: A Brief History of Intelligence
Brain Inspired |

BI NMA 04: Deep Learning Basics Panel

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