Practical Deep Learning (W1)
We will be going through the fastai Practical Deep Learning course together, including lecture screenings and active practice every session. https://course.fast.ai
Here's what we'll learn:
Build and train deep learning models for computer vision, natural language processing, and tabular analysis
Create random forests and regression models
Deploy models
Use PyTorch, the world’s fastest growing deep learning software, plus popular libraries like fastai and Hugging Face
No ML or math background is necessary. Experience with Python is a prerequisite. All levels of ML experience are welcome!
We will meet twice a week, on Mondays and Wednesdays from 6-8 PM for 5 weeks, from 5/10 to 6/10.
Spots are limited, so priority will be given to those who will participate the entire program.