Yahoo India Web Search

Sign In

Search results

  1. www.assemblyai.com › blog › why-you-should-or-shouldWhy You Should (or Shouldn't) be Using Google's JAX in 2023

    Feb 15, 2022 · If you want to be training on TPUs, then you should probably start using JAX, especially if you are currently using PyTorch. While PyTorch-XLA exists, using JAX for TPU training is absolutely seamless and a much better experience overall.

  2. deepmind.google › discover › blogUsing JAX to accelerate our research - Google DeepMind

    Dec 4, 2020 · Here we share our experience of working with JAX, outline why we find it useful for our AI research, and give an overview of the ecosystem we are building to support researchers everywhere. Why JAX? JAX is a Python library designed for high-performance numerical computing, especially machine learning research.

  3. www.reddit.com › d_should_we_be_using_jax_in_2022[D] Should We Be Using JAX in 2022? : r/MachineLearning - Reddit

    JAX can be incredibly fast and, while it's a no-brainer for certain things, Machine Learning, and especially Deep Learning, benefit from specialized tools that JAX currently does not replace (and does not seek to replace). I wrote an article detailing why I think you should (or shouldn't) be using JAX in 2022.

  4. livebook.manning.com › book › deep-learning-with-jax1 When and why to use JAX - Deep Learning with JAX

    This chapter covers. What is JAX? When and where to use JAX. Comparing JAX with TensorFlow, PyTorch, and NumPy. One more deep learning library? Are you serious?! After everything has converged to the beloved-by-everyone PyTorch and the well-established ecosystem around Tensorflow, why should I bother about JAX?

  5. theaisummer.com › jaxJAX for Machine Learning: how it works and why learn it

    Mar 4, 2021 · In this article, we will explore what is JAX and why one should use it over all the other libraries. We will make our points using code snippets that capture the power of JAX and we will present some good-to-know features of it.

  6. www.adventuresinmachinelearning.com › tensorflowTensorFlow vs PyTorch vs Jax: Choosing the Best Deep Learning ...

    Overall, Jax is an excellent choice for those who need a research-oriented deep learning framework with strong support for automatic differentiation and hardware accelerators.

  7. People also ask

  8. pyimagesearch.com › 2023/02/20 › learning-jax-inLearning JAX in 2023: Part 1 — The Ultimate Guide to ...

    Feb 20, 2023 · JAX is a high-performance, numerical computing library incorporating composable function transformations. —Why You Should (or Shouldn’t) be Using Google’s JAX in 2023. That sounds intimidating, but think about it again.