https://github.com/jaidevd/nn-tutorials
https://github.com/jaidevd/nn-tutorials
deep-learning neural-network python tensorflow tutorial
Last synced: 10 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/jaidevd/nn-tutorials
- Owner: jaidevd
- Created: 2017-02-27T14:08:01.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2022-09-10T05:30:45.000Z (over 3 years ago)
- Last Synced: 2025-03-28T17:48:05.870Z (10 months ago)
- Topics: deep-learning, neural-network, python, tensorflow, tutorial
- Language: Jupyter Notebook
- Homepage:
- Size: 677 KB
- Stars: 7
- Watchers: 2
- Forks: 3
- Open Issues: 1
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Neural Networks with Tensorflow & Jax
=====================================
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](jax/01_gradients.ipynb) | [](https://colab.research.google.com/github/jaidevd/nn-tutorials/blob/master/jax/01_gradients.ipynb) |
| 2. | [Accelerating NumPy](jax/02_acceleration.ipynb) | [](https://colab.research.google.com/github/jaidevd/nn-tutorials/blob/master/jax/02_acceleration.ipynb) |
| 3. | [Logistic Regression](jax/03_logistic_neurons.ipynb) | [](https://colab.research.google.com/github/jaidevd/nn-tutorials/blob/master/jax/03_logistic_neurons.ipynb) |