Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high-level ...

关于 PyTorch 炼丹，本文作者表示：「如果你有 8 个 GPU，整个训练过程只需要 2 分钟，实现 11.5 倍的性能加速。」 如何提升 PyTorch「炼丹」速度？ 最近，知名机器学习与 AI 研究者 Sebastian Raschka 向我们展示了他的绝招。据他表示，他的方法在不影响模型准确率的 ...

这篇文章中，我们将利用 CIFAR-10 数据集通过 Pytorch 构建一个简单的卷积自编码器。 引用维基百科的定义，”自编码器是一种人工神经网络，在无监督学习中用于有效编码。自编码的目的是通过一组数据学习出一种特征（编码），通常用于降维。“ 为了建立一个 ...

Dr. James McCaffrey of Microsoft Research uses a complete demo program, samples and screenshots to explains how to install the Python language and the PyTorch library on Windows, and how to create 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 of ...

本文展示了一些提高 DALI 资源使用率以及创建一个完全基于 CPU 的管道的技术。这些技术长期稳定内存使用率，将 CPU & GPU 管道的 batch 大小提高 50%。用特斯拉 V100 加速器显示 PyTorch+DALI 可以达到接近 4000 个图像/秒的处理速度，比原生 PyTorch 快了大约 4 倍。

Learn how Intersection over Union (IoU) works and how to implement it step-by-step using PyTorch. This guide covers ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

Cloud-scale AI has found its way into the tiniest chips, but the real challenge lies not in training models; it is in running ...