pytorch深度学习

PyTorch is an open source machine learning library for Python that facilitates building deep learning projects. We've published a 10-hour course that will take you from being complete beginner in PyTorch to using it to code your own GANs (generative adversarial networks). You don't even have to know what a GAN is to start!

PyTorch是适用于Python的开源机器学习库，可帮助构建深度学习项目。 我们发布了一个10小时的课程，从入门的PyTorch入门到使用它编写自己的GAN(生成对抗网络)的过程，都将带您进入。 您甚至不必知道启动GAN是什么！

This coding-first course is approachable to people starting out with deep learning and neural networks. The course was developed by Aakash from Jovian.ml. This is a comprehensive course and it covers the following topics:

对于以深度学习和神经网络为起点的人们来说，这门编码优先课程是可行的。 该课程由Jovian.ml的Aakash开发。 这是一门综合性课程，涵盖以下主题：

• PyTorch Basics & Linear RegressionPyTorch基础知识和线性回归
• Image Classification with Logistic Regression逻辑回归的图像分类
• Training Deep Neural Networks on a GPU with PyTorch使用PyTorch在GPU上训练深度神经网络
• Image Classification using Convolutional Neural Networks使用卷积神经网络进行图像分类
• Residual Networks, Data Augmentation and Regularization残留网络，数据增强和正则化
• Training Generative Adverserial Networks (GANs)训练生成式对抗网络(GAN)

There is code and detailed notes to go along with each section of this course. You can access the code in Jupyter Notebooks that are provided. This allows you to try the code yourself at each step of the way.

本课程的每个部分都有相应的代码和详细说明。 您可以在提供的Jupyter Notebook中访问代码。 这使您可以在方法的每个步骤中亲自尝试代码。

If you have been wanting to learn more about deep learning but haven't known where to start, this is a great place to begin your journey of learning about deep learning. It will be helpful to have a basic understanding of Python before you start.

如果您想了解有关深度学习的更多信息，但又不知道从哪里开始，那么这是开始学习深度学习的绝佳之地。 在开始之前，对Python有基本的了解将很有帮助。

You can watch the course below or on the freeCodeCamp.org YouTube channel.

您可以在下面或在freeCodeCamp.org YouTube频道上观看课程。

翻译自: https://www.freecodecamp.org/news/pytorch-full-course/

pytorch深度学习