JAX - AItools Artificial Intelligence Navigation Site

JAX is a Python library for accelerator-driven array computation and program transformation, designed for high-performance numerical computation and large-scale machine learning.
Use Cases

Training Neural Networks
numerical optimization
scientific computing

Product Features

Provides a NumPy-like API
Composable function conversions with support for compilation, batch processing, automatic differentiation and parallelization
Code runs on CPUs, GPUs and TPUs

target user

research worker
hiring out
data scientist

set a price
JAX is open source software and free to use.

data statistics

Data evaluation

JAXThe number of visitors has reached 21, if you need to check the station's related weight information, you can click "5118 Data""Love Station Data""Chinaz data"Enter; to the current site data reference, it is recommended that you please love the station data prevail, more site value assessment factors such as:JAXaccess speed, search engine inclusion and indexing, user experience, etc.; of course, to assess the value of a station, the main need to be based on your own needs and needs, some of the exact data you need to look for theJAXThe webmaster of the site to negotiate offers. Such as the station's IP, PV, and bounce rate!

Special Statement

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