Notebooks for the tutorial on neural networks with Tensorflow & Jax.
The Jax section of this tutorial is available on Colab:
| Sr | Notebook | Colab |
|---|---|---|
| 1. | Gradients & Automatic Differentiation |  |
| 2. | Accelerating NumPy | |
| 3. | Logistic Regression | |
jaidevd/nn-tutorials
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|