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https://github.com/jaidevd/nn-tutorials


https://github.com/jaidevd/nn-tutorials

deep-learning neural-network python tensorflow tutorial

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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) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jaidevd/nn-tutorials/blob/master/jax/01_gradients.ipynb) |
| 2. | [Accelerating NumPy](jax/02_acceleration.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jaidevd/nn-tutorials/blob/master/jax/02_acceleration.ipynb) |
| 3. | [Logistic Regression](jax/03_logistic_neurons.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/jaidevd/nn-tutorials/blob/master/jax/03_logistic_neurons.ipynb) |