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Try Brilliant free for 30 days https://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 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