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.
Classification of COVID19 using Chest X-ray Images in Keras
Taught in English
Instructor: Priya Jha
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(33 reviews)
What you'll learn
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
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Guided Project
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About this Guided Project
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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
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