PyTorch 1.x tutorials and examples Books and slides about PyTorch 书籍、PPT等 以下是一些独立的教程 1) PyTorch深度学习:60分钟入门与实战 2) Learning PyTorch with Examples 用例子学习PyTorch How to run? 推荐的运行方式 PyTorch 1.x tutorials and examples 0.PyTorch 版本变化及迁移指南 1.PyTorch_for...
This includes a large number of pre-trained models, tutorials, and tools for visualizing and interpreting models. GPU Support: PyTorch is designed to make efficient use of GPUs, making it possible to train complex deep-learning models on large datasets. Interoperability: PyTorch can be easily ...
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1000- lightning-transformers: Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra. Tutorials & books & examples|教程 & 书籍 & 示例 4200+ Practical Pytorch**: 该教程对不同的RNN模型进行了解释。 DeepLearningForNLPInPytorch: IPython...
原文:pytorch.org/tutorials/intermediate/jacobians_hessians.html 译者:飞龙 协议:CC BY-NC-SA 4.0 注意 点击这里下载完整的示例代码 计算雅可比矩阵或海森矩阵在许多非传统的深度学习模型中是有用的。使用 PyTorch 的常规自动微分 API(Tensor.backward(),torch.autograd.grad)高效地计算这些量是困难的(或者烦人的)...
原文:pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html 译者:飞龙 协议:CC BY-NC-SA 4.0 作者:Soumith Chintala www.youtube.com/embed/u7x8RXwLKcA 什么是 PyTorch? PyTorch 是一个基于 Python 的科学计算包,具有两个广泛的用途: 用于利用 GPU 和其他加速器的 NumPy 替代品。
在第一章中,我们将首次接触 PyTorch,了解它是什么,解决了什么问题,以及它与其他深度学习框架的关系。第二章将带领我们进行一次旅行,让我们有机会玩玩已经在有趣任务上预训练的模型。第三章会更加严肃,教授 PyTorch 程序中使用的基本数据结构:张量。第四章将带领我们再次进行一次旅行,这次是跨越不同领域的数据如何表示...
PyTorchis designed to be the framework that's both easy to use and delivers performance at scale. Indeed it has becomethe most popular deep learning frameworkby a mile among the research community. However, despite somelengthy official tutorialsand a few helpfulcommunity blogs, it is not always...
学习PyTorch 的示例:pytorch.org/tutorials/beginner/pytorch_with_examples.html 安装OpenAI Gym 设置工作环境后,我们现在可以安装 OpenAI Gym。在不使用 OpenAI Gym 的情况下,您无法进行强化学习,该工具为您提供了多种环境,用于开发学习算法。 OpenAI (openai.com/) 是一家致力于构建安全的人工通用智能(AGI)并确保...
Step-by-step deep learning tutorials to show you exactly how to apply each method. End-to-end deep learning projects that show you exactly how to tie the pieces together and get a result. Python source code recipes for every example in the book so that you can run the tutorial and proje...