scikit-learn是Python中最好的机器学习库，而PyTorch又为我们构建模型提供了方便的操作，能否将它们的优点整合起来呢？在本文中，我们将介绍如何使用 scikit-learn中的网格搜索功能来调整 PyTorch 深度学习模型的超参数: 如何包装 PyTorch 模型以用于 scikit-learn 以及如何 ...

Deep learning continues to be one of the hottest fields in computing, and while Google’s TensorFlow remains the most popular framework in absolute numbers, Facebook’s PyTorch has quickly earned a ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

随着深度学习的多项进步，复杂的网络（例如大型transformer 网络，更广更深的Resnet等）已经发展起来，从而需要了更大的内存空间。经常，在训练这些网络时，深度学习从业人员需要使用多个GPU来有效地训练它们。在本文中，我将向您介绍如何使用PyTorch在GPU集群 ...

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...

PyTorch is an open-source machine learning library. While it can be used for a wide range of tasks, it is particularly helpful for the training and inference of deep learning tasks, like computer ...

The enticing new title courtesy of Packt Publishing, “Machine Learning with PyTorch and Scikit-Learn,” by Sebastian Raschka, Yuxi (Hayden) Liu, and Vahid Mirjalili is a welcome addition to any data ...

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

In collaboration with the Metal engineering team at Apple, PyTorch today announced that its open source machine learning framework will soon support GPU-accelerated model training on Apple silicon ...