JAX in 100 Seconds

Try Brilliant free for 30 days https://brilliant.org/fireship

JAX is a Python library similar to NumPy for scientific computing and linear algebra, but designed to run on accelerators like Cuda-based GPUs and Google's TPUs.

#programming #math #100SecondsOfCode

💬 Chat with Me on Discord

https://discord.gg/fireship

🔗 Resources

Google JAX on GitHub https://github.com/google/jax
Tensorflow in 100 Seconds https://youtu.be/i8NETqtGHms
Cuda in 100 Seconds https://youtu.be/pPStdjuYzSI
GPU vs TPU https://youtu.be/r5NQecwZs1A

🔥 Get More Content - Upgrade to PRO

Upgrade at https://fireship.io/pro
Use code YT25 for 25% off PRO access

🎨 My Editor Settings

- Atom One Dark
- vscode-icons
- Fira Code Font

🔖 Topics Covered

- JAX basics tutorial
- How does JAX work?
- JAXPpython explained quickly
- Pytorch alternative
- Tensorflow vs JAX
- How is calculus used on Machine Learning
...
https://www.youtube.com/watch?v=_0D5lXDjNpw