33 ratings
Learn to Build and Train the Convolutional Neural Network using Keras with Tensorflow as Backend
Learn to Visualize Data in Matplotlib
Learn to make use of the Trained Model to Predict on a New Set of Data
In this 1 hour long project-based course, you will learn to build and train a convolutional neural network in Keras with TensorFlow as backend from scratch to classify patients as infected with COVID or not using their chest x-ray images. Our goal is to create an image classifier with Tensorflow by implementing a CNN to differentiate between chest x rays images with a COVID 19 infections versus without. The dataset contains the lungs X-ray images of both groups.We will be carrying out the entire project on the Google Colab environment. Please be aware of the fact that the dataset and the model in this project, can not be used in the real-life. We are only using this data for educational purposes. By the end of this project, you will be able to build and train the convolutional neural network using Keras with TensorFlow as a backend. You will also be able to perform data visualization. Additionally, you will also be able to use the model to make predictions on new data. You should be familiar with the Python Programming language and you should have a theoretical understanding of Convolutional Neural Networks. You will need a free Gmail account to complete this project. 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.
Data Science
Deep Learning
Convolutional Neural Network
Python Programming
Keras/ Tensorflow
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction & Import Libraries
Clone and Explore Dataset
Data Visualization
Data preprocessing and Augmentation
Build a Convolutional Neural Network (CNN)
Compile and Train the Model
Performance Evaluation
Prediction on New 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
by SP
Nov 21, 2021I liked the course as it gives the complete picture of how to make prediction using convolutional neural network. Discussion forum is not so active is a negative point.
by MB
Apr 10, 2021By far the best 'guided project' I have ever come across.
by NL
Feb 19, 2021It is a useful project. However, the instructor speaks too fast with an accent and I couldn't catch up with her explanations.
by MG
Aug 9, 2021best guided project I have taken at Coursera so far.
well explained.
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.
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