Gradient descent with JAX

Gradient descent with JAX
11 February 2023
SATURDAY
1 p.m.

Details

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| About 📝

In this workshop we will use Google JAX to implement gradient descent in order to solve machine learning tasks like linear regression and logistic regression. Gradient descent is the core of the training of all deep learning models. Implementing it from scratch using JAX will help you understand how this optimization algorithm works.

What is Google JAX? It’s a machine learning framework used for transforming numeral functions and is bringing together a modified version of autograd and TensorFlow’s XLA.

| Prerequisites ✅

Fundamentals in Python and Machine Learning are required. Check out “Introduction to JAX” before attending this workshop so you can get the most out of it.

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