Bootcamp Tracks
To provide both breadth and hands-on experience, Neuro-Bootcamp is split into two parallel tracks.
Lecture series
The lecture series is an opportunity to hear from top researchers in Neuroscience, their breakthroughs, insights, and burning questions of where do we go next?
Lecture Series will be announced on July 26th.
Stem Track
Week 1
The Basics
-
Intro to DL academy
-
Linear DL
-
Multi-layer Perceptrons (MLPs)
-
Optimization
-
Regularization
Aug 2-6
Week 1
Week 2
Week 2
Doing More with
Fewer Parameters
-
Parameter sharing: Convnets and recurrent neural networks (RNNs)
-
Attention and Transformers
-
Generative models (VAEs & GANs)
Aug 9-13
Week 3
Advanced Methods
-
Unsupervised and self-supervised learning
-
Basic Reinforcement Learning (RL) ideas
-
RL for games
-
Finishing Proposals
Week 3
Aug 16-20
STEM Curriculum