This is new: TensorFlow 2.18 integrates the current version 2.0 of NumPy and, with Hermetic CUDA, will no longer require local CUDA libraries during the build.

「AMD ROCm」が「WSL 2」にベータ対応 ～NVIDIAでいうところの「CUDA」に相当 マルチGPU、「Tensorflow」もサポート ...

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

株式会社インプレスホールディングスのプレスリリース（2022年1月21日 11時00分）PythonとTensorFlowを使って類似画像検索の仕組みを理解する！

The guide takes a closer look at the open-source library PyTorch which allows a Python developer to quickly get up-to-speed with the features of CUDA that make it so appealing to researchers and ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business ...