单项课程

Intro to Deep Learning with PyTorch

by
Facebook AI

Use PyTorch to implement your first deep neural network

关于此课程

In this course, you’ll learn the basics of deep learning, and build your own deep neural networks using PyTorch. You’ll get practical experience with PyTorch through coding exercises and projects implementing state-of-the-art AI applications such as style transfer and text generation.

学费
免费
学习时间
大约 2 个月
难度
中级
你将获得

丰富的教学材料

互动随堂练习

业界专业导师

自主掌握进度

课程讲师

Luis Serrano

Luis Serrano

Lead Instructor

Alexis Cook

Alexis Cook

Instructor

Soumith Chintala

Soumith Chintala

Instructor

Cezanne Camacho

Cezanne Camacho

Instructor

Mat Leonard

Mat Leonard

Content Developer

你将学到什么

先修知识及要求

To succeed in this course, you’ll need to be comfortable with Python and data processing libraries such as NumPy and Matplotlib. Basic knowledge of linear algebra and calculus is recommended, but isn’t required to complete the exercises.

查看使用优达学城的 技术要求

为什么学习这门课程?

Deep learning is driving the AI revolution and PyTorch is making it easier than ever for anyone to build deep learning applications. In this course, you’ll gain practical experience building and training deep neural networks using PyTorch. You’ll be able to use these skills on your own personal projects.

我将获得什么?
  • 教学视频
  • 随堂练习
  • 专业导师