Deep Learning with PyTorch : Convolutional Neural Network

提供方
Coursera Project Network
在此指導項目中,您將:

Create Convolutional Neural Network using PyTorch

Write training loop for classifying images

Create, train and evaluate CNN

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

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

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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