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
2.	Accelerating NumPy
3.	Logistic Regression

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Extracted from project README

This is repository for DeepLearning Study in Kyung Hee University

This project attempts to build neural network training and lightweighting cookbook including thre...

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Implementation of a series of Neural Network architectures in TensorFow 2.0

Showcase some machine learning algorithms.

Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)

nn-tutorials