JAX in 100 Seconds

preview_player
Показать описание

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

🔗 Resources

🔥 Get More Content - Upgrade to 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
Рекомендации по теме
Комментарии
Автор

"Why did you start using JAX?"
Me: "I like the logo"

dtoaster
Автор

"Imagine you're writing a nuclear warhead in your mom's basement" Oh I don't have to imagine fireship

justingolden
Автор

Now I have 10 years of experience in JAX. NICE!

rafaelsanchezmartinez
Автор

Active: Jax enters Evasion, a defensive stance, for up to 2 seconds, causing all basic attacks against him to miss. Jax also takes 25% reduced damage from all champion area of effect abilities. After 1 second, Jax can reactivate to end it immediately.

jonathansmith
Автор

As a software engineer with 10 years of experience, I understood some of those words.

wlockuz
Автор

Jax sounds like less abstract version of pytorch and more complicated version of numpy

mritunjaymusale
Автор

i'm interested in computer science, calculus and statistics, but i only have 300 seconds in total

alcoholrelated
Автор

"Imagine if i had a real weapon!"

potato_zeq
Автор

The sample code u shared at the end, so simple & elegant shows what training is all about. Approximation of a function F defined as multiplication of multiple matrixes (its layers), then calculating its error over known data E(F(x), y), computing gradients of that error E', & then updating F's parameters, such E' approach to zero. I will share this code to my students. Thanks again.

unclecode
Автор

I have never heard the best explanation of derivative from calculus like 'if you want to know how big is the mushroom cloud is growing ' .

VisibilityO
Автор

I just opened YouTube and thought it must be about time for a new fireship video. And bang! There it is

netcodedev
Автор

A must like video, due to your effort to research this type of content, keep that good work

hectors.
Автор

"Let's start with X: Accelerated (...)"

"???"

Henrique-upsu
Автор

Do Elm in 100 seconds! You'll love it! It's an older JavaScript framework that had a lot of thought behind it. It's funny to see more popular ones catch up, but Elm did a lot of the things very well and it deserves some love!

bramvdnheuvel
Автор

- “Mum, could I practice my predictions from automatic differentiation in our garden?”
1:47

athlone_tch
Автор

great video but still very sad we did not work in a mortal kombat jax reference

zstrizzel
Автор

Thank you, Fireship. Up until I watched this video, I thought I was smart.

robertholtz
Автор

Dang missed opportunity using the Jax from league of legends on the video

MarcusAurelius-klyz
Автор

Thanks, I can now add 10 years experience of JAX to my résumé!

codexcursors
Автор

Could you do a ROCm video (AMD's CUDA couterpart) ? Love you and your vids !

utorque