English | Size: 5.76 GB
Genre: eLearning
Learn
Create a RESTful API with the Django REST framework
Discover how to integrate Django with React
Find out how to create a single page application
Add features such as the ‘load more images’ button and spinners to the React app
Implement the ‘drag and drop’ functionality using Dropzone
Integrate a Keras CNN model with Django
About
This course shows you how to build an AI-driven image classifier project using React, the Django REST framework, and a Keras pre-trained model. You’ll also learn how to integrate a ready convolutional neural network (CNN) model from Keras applications with Django.
The course starts with an overview of Django and React, helping you gain both theoretical and practical knowledge. You’ll learn how to implement new functionalities in a step-by-step manner to create a project. As you advance, you’ll understand how the app’s frontend and backend work, and even learn how to test your classifier and catch errors. Later, you’ll delve into adding features such as styling, buttons, the navigation component, and spinners which will help in creating a user-friendly app.
By the end of this course, you’ll have built a modern web application that will classify images and store the classification history efficiently.
Here’s the link to the GitHub Repo:
https://github.com/PacktPublishing/Image-Classifier-with-Django-and-React
Features
Get started with Django by setting up your Django project and creating an image model
Get to grips with React and find out how to set up a React project
Understand how the app’s frontend and backend work
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