TypeScript vs. JavaScript: A Guide
September 30, 2024
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Instructor: Amit Yadav
12,896 already enrolled
Included with
(335 reviews)
Recommended experience
Intermediate level
Prior programming experience in Python. Theoretical knowledge of Convolutional Neural Networks, and gradient descent.
(335 reviews)
Recommended experience
Intermediate level
Prior programming experience in Python. Theoretical knowledge of Convolutional Neural Networks, and gradient descent.
Create custom Dataset and DataLoader in PyTorch
Train a ResNet-18 model in PyTorch to perform Image Classification
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Only available on desktop
In this 2-hour long guided project, we will use a ResNet-18 model and train it on a COVID-19 Radiography dataset. This dataset has nearly 3000 Chest X-Ray scans which are categorized in three classes - Normal, Viral Pneumonia and COVID-19. Our objective in this project is to create an image classification model that can predict Chest X-Ray scans that belong to one of the three classes with a reasonably high accuracy. Please note that this dataset, and the model that we train in the project, can not be used to diagnose COVID-19 or Viral Pneumonia. We are only using this data for educational purpose.
Before you attempt this project, you should be familiar with programming in Python. You should also have a theoretical understanding of Convolutional Neural Networks, and optimization techniques such as gradient descent. This is a hands on, practical project that focuses primarily on implementation, and not on the theory behind Convolutional Neural Networks. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction
Importing Libraries
Creating Custom Dataset
Image Transformations
Prepare DataLoader
Data Visualization
Creating the Model
Training the Model
Final Results
Prior programming experience in Python. Theoretical knowledge of Convolutional Neural Networks, and gradient descent.
The Coursera Project Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their projects. If you're interested in becoming a project instructor and creating Guided Projects to help millions of learners around the world, please apply today at teach.coursera.org.
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
335 reviews
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Reviewed on Oct 5, 2020
Excellent course.My special thanks goes to Coursera and course supervisor
Reviewed on Aug 27, 2020
It's a nice project, but I think more explanation about the concepts (ex- imagenet dataset, restnet18 model, etc.) must be provided to make the understanding more clearer.
Reviewed on Aug 22, 2020
Lecturer needs to let students know how to access dataset and code from in the beginning of the video lecture. It was hard to find code/ data download website
Coursera Project Network
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University of California San Diego
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Coursera Project Network
Course
University of Florida
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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
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At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.