Deep Learning with PyTorch: Build a Neural Network

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Coursera Project Network
In this Guided Project, you will:

Create a Neural Network to classify handwritten Digits

Create a Neural Network using PyTorch

Clock1 hour
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this one-hour project-based course, you will get to know the basic components of pytorch through hands-on tasks. You will learn how to define, train, and evaluate a neural network with pytorch. By the end of this project, you will build a neural network which can classify handwritten digits. You will be able to create a neural network using pytorch and complete classification tasks in deep learning with pytorch. This guided project is for learners who want to use pytorch for building deep learning models. Learners who have a basic understanding of deep neural networks and want to apply neural network using deep learning framework like pytorch. This project provides learners with deeper 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

Artificial 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. Loading and Visualizing MNIST Dataset

  2. Splitting Dataset and Setting DataLoader into Train,Test and Validation Set

  3. Creating Neural Network or Model

  4. Training Neural Network

  5. Evaluating 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



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