Livecoding Madness: Let's Build a Deep Learning Library
video of the livecoding.
research engineer, Allen Institute for AI
author, Data Science from Scratch
co-host, "Adversarial Learning" podcast
Livecoding Madness: Let's Build a Deep Learning Library
In this talk we'll build a deep learning library from scratch (well, from NumPy) in 45 minutes.
How is that possible? By typing really fast.
Along the way we'll talk about library design, type hinting, Python 3.6, and of course deep learning.
Here's the plan:
- Tensors
- Loss Functions
- Layers
- Neural Nets
- Optimizers
- Data
- Training
- XOR Example
- FizzBuzz Example