Deep Learning Community of Practice

Deep Learning Discussion: The Bigram Language Model

Explore the Bigram Model – Try to improve on the Bigram model we wrote this week. How much is performance influenced by…

Deep Learning Discussion: The Bigram Language Model

Next session we will continue working with the Bigram model. Please finish the video if you are still working on it.

Deep Learning Discussion: Backpropagaton

Next week will be a “catch-up” session since the backpropagation material is critical for understanding how networks are optimized and takes a fair bit of time to work…

Python 2: Python Fundamentals

The presentation slides can be found here.

Python 1: Data Visualization in Python

Questions to Ponder:

Fall Session: Preparation and Schedule

Edit: 9/26 Added to Schedule resources for

Summer Session: Meeting 6 Preparation Notes

Below are a few notes regarding the lecture for the next two sessions (Building a GPT).

Meeting 5

This supplementary presentation from this week can be found here.

Summer Session: Meeting 4

This supplementary presentation from this week can be found here.

Summer Session: Meeting 3

This week we supplemented the lecture material with supplemental sides which can be found here. Specifically we discussed common considerations for defining training and…

Summer Session: Meeting 2

A bigram model predicts the next letter given a letter

Summer Session: Meeting 1

What are the key ideas you took from the video?

Summer Session: Kick Off Meeting

We’re starting off from zero and implementing the core engine that powers deep learning: back propagation.

Summer Session: Kick Off Meeting

We’re starting off from zero and implementing the core engine that powers deep learning: back propagation.

Summer Session: Pre-Meeting Preparation

Hello Everyone!