Deep Learning with PyTorch : Convolutional Neural Network

Offered By
Coursera Project Network
In this Guided Project, you will:

Create Convolutional Neural Network using PyTorch

Write training loop for classifying images

Create, train and evaluate CNN

Clock2 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Skills you will develop

Convolutional Neural NetworkPython ProgrammingDeep Learningpytorch

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Load CIFAR-10 Dataset

  2. Plot examples from dataset

  3. Loading dataset into batches

  4. Create Convolutional Neural Network

  5. Training Convolutional Neural Network

  6. Evaluate the model

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.