page for Kording lab teaching sessions 2016
Oct 18th, Max Berniker lab update
Prof. Max Berniker, lab alumnae and professor at UIC, will update about research at his lab
Oct 25th, Introduction on XGBoost
Introduction on XGBoost (extreme gradient boosting) and example code in Python by Titipat
Nov 1st, Eva Dyer Practice Talk
Eva will give her practice her neurosciency talk for Machine learning audience and then talk about challenges in neural data analysis. This will happen on November 1st at 1.30 PM
Nov 8th, Generative Adversarial Model
Roozbeh Farhoodi on Generative Adversarial Networks (GAN). GAN is a very popular deep learning framework that consists of 2 components: discriminative model and generative model . He'll go through some math and gist behind GAN.
Nov 15th, SfN conference,
No teaching this week due to SfN conference in San Diego
Nov 22nd, Thanks Giving break
No teaching this week due to Thanks Giving :)
Nov 29th, Tutorial on Docker
Ravi Garg will give tutorial on Docker on November 22nd 3-4 PM, containers that wrap a piece of software in an environment.
Dec 6th, Optimization methods in Deep learning
Ari Benjamin on Gradient Descent. Ari will teach us about optimization technique in Deep learning including popular Stochastic Gradient Descent (SGD), Momentum technique, RMSProp, AdaGrad, Adam, Approximate Second Order method, Conjugate gradient method (and more).
Feb 16th, Introduction to Python
Titipat on introduction to Python. This is a first session of Python for beginner.
Feb 23th, Pandas for Data Analysis
Titipat on introduction to Pandas library in Python for data analysis
TBD, Deep learning using Keras
Luca Lonini on Keras deep learning library in Python
Sept 12th, Accessing Allen Institute data
Ari with an overview of Allen Institute data, present and future, and a brief talk about his project at the Dynamic Brain workshop.