Deep Learning with PyTorch : Convolutional Neural Network

提供方
Coursera Project Network
在此指导项目中,您将:

Create Convolutional Neural Network using PyTorch

Write training loop for classifying images

Create, train and evaluate CNN

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

In this two hour project-based course, you will get to know basic components to create convolutional neural network using pytorch through hands-on tasks. You will learn how to create, train and evaluate a convolutional neural network using pytorch. By the end of this project, you will be able to build and train a convolutional neural network on CIFAR-10 dataset. This guided project is for learners who want to use pytorch for building deep learning models. Learners who have basic understanding of convolutional neural network and want to apply using a deep learning framework like pytorch. This project provides learners with deep knowledge about the basics of pytorch and its main components. In order to be successful in this project, you should be familiar with python and neural networks.

您要培养的技能

  • Convolutional Neural Network
  • Python Programming
  • Deep Learning
  • pytorch

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Load CIFAR-10 Dataset

  2. Plot examples from dataset

  3. Loading Dataset into Batches

  4. Create Convolutional Neural Network

  5. Train Convolutional Neural Network

  6. Evaluate the model

  7. Optional Task : Finding mean and std value for normalization

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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