As a part of NeuroHackademy 2022, Melanie Ganz-Benjaminsen (University of Copenhagen), Taylor Salo (Florida International University), and Ariel Rokem (UW) provided a breakout session on BIDS and Liberty Hamilton (UT Austin) introduced receptive fields/encoding models.
This lecture will introduce PyTorch, a common machine learning library, and will demonstrate the use of PyTorch to develop a multi-layered neural network.
In this lecture we will learn why git is important in data science, how to use git via its command line interface, and how to configure git to interact with GitHub.
This lecture will discuss control flow in Python: conditional statements, loops, and functions.
This lecture will give a brief introduction to using NumPy, Python’s numerical library.
This lecture will provide a ground-up introduction to Python. We will discuss Jupyter notebooks and how to use the JupyterHub, Python variables and types, and basic Python operations.