---
title: "Grigory Sapunov Deep Learning with JAX"
ean: "9781633438880"
brand: "Grigory Sapunov"
category: "Medier > Bøger"
price_min: 379
price_max: 379
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781633438880/deep-learning-with-jax
last_checked: 2026-10-14
---

# Grigory Sapunov Deep Learning with JAX

EAN 9781633438880 · Mærke: Grigory Sapunov · Kategori: Medier > Bøger

Sammenlign priser på Grigory Sapunov Deep Learning with JAX fra 1 forhandler. Billigste pris nu: 379 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781633438880/deep-learning-with-jax

## Priser
- **Billigste pris nu:** 379 kr hos Saxo DK
- **Prisspænd:** 379 kr – 379 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 379 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. In Deep Learning with JAX you will learn how to: Use JAX for numerical calculations Build differentiable models with JAX primitives Run distributed and parallelized computations with JAX Use high-level neural network libraries such as Flax and Haiku Leverage libraries and modules from the JAX ecosystem The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX’s concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You’ll learn how to use JAX’s ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment.

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Priserne er sidst kontrolleret 2026-10-14.