Learn to use Efficient Net to classify Brain MRI Scans in one of the four classes of Brain Tumor in Keras.
In this 2-hour-long guided project, we will use an efficient net model and train it on a Brain MRI dataset. This dataset has more than 3000 Brain MRI scans which are categorized in four classes - Glioma Tumor, Meningioma Tumor, Pituitary Tumor and No Tumor. Our objective in this project is to create an image classification model that can predict Brain MRI scans that belong to one of the four classes with a reasonably high accuracy. Please note that this dataset, and the model that we train in the project, is for educational purposes only. Project Prerequisite: 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. This is a hands on, practical project that focuses primarily on implementation, and not on the theory behind Convolutional Neural Networks. We will be carrying out the entire project on the Google Colab environment so you will need a free Gmail account to complete this project. This Guided Project was created by a Coursera community member.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction to the project.
Clone dataset and Import Libraries
Create directories to store Training and Test Data
Create a function to crop images
Save the cropped images to respective directories.
Data Augmentation and Data Loading
Training and evaluating the model
Prediction on Test Data
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
Excellent content, now I know how "simple" it is to build this type of model with such accuracy. Thank you very much!
I am an absolute beginner and I just followed along with Mr. Arya and was successful! Learned a lot.
I haven't seen a better guided project during all my time learning at Coursera.
Very helpful to clear out some steps in training image data
What will I get if I purchase a Guided Project?
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.
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Is financial aid available?
Financial aid is not available for Guided Projects.
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How much experience do I need to do this Guided Project?
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.
Can I complete this Guided Project right through my web browser, instead of installing special software?
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
What is the learning experience like with Guided Projects?
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.
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