Try Brilliant free for 30 days brilliant.org/fireship You’ll also get 20% off an annual premium subscription
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
discord.gg/fireship
🔗 Resources
Google JAX on GitHub github.com/google/jax
Tensorflow in 100 Seconds • TensorFlow in 100 Seconds
Cuda in 100 Seconds • Nvidia CUDA in 100 Seconds
GPU vs TPU • CPU vs GPU vs TPU vs DPU vs QPU
🔥 Get More Content - Upgrade to PRO
Upgrade at 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 Lea
コメント