Diabetic Retinopathy Detection with Artificial Intelligence

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In this Guided Project, you will:

Understand the theory and intuition behind Deep Neural Networks, Residual Nets, and Convolutional Neural Networks (CNNs)

Build a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend

Assess the performance of trained CNN and ensure its generalization using various Key performance indicators.

2 hours
Intermediate
No download needed
Split-screen video
English
Desktop only

In this project, we will train deep neural network model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect the type of Diabetic Retinopathy from images. Diabetic Retinopathy is the leading cause of blindness in the working-age population of the developed world and estimated to affect over 347 million people worldwide. Diabetic Retinopathy is disease that results from complication of type 1 & 2 diabetes and can develop if blood sugar levels are left uncontrolled for a prolonged period of time. With the power of Artificial Intelligence and Deep Learning, doctors will be able to detect blindness before it occurs.

Skills you will develop

  • Deep Learning

  • Machine Learning

  • Python Programming

  • Artificial Intelligence(AI)

  • Computer Vision

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. Understand the Problem Statement and Business Case

  2. Import Libraries and Datasets

  3. Perform Data Exploration and Visualization

  4. Perform Data Augmentation and Create Data Generator

  5. Understand the Theory and Intuition Behind Convolutional Neural Networks

  6. Build a ResNet Deep Neural Network Model

  7. Compile and Train the Deep Neural Network Model 

  8. Assess the Performance of the Trained 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

Instructor

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