Image Classifier with Django and React

Focused View

Django Ninjas

5:05:52

12 View

1 - Introduction

01 - How to get started.mp4

03:25

2 - Getting Started with Django

02 - Code Editor.mp4

02:47

03 - Setting Up the Django Project.mp4

14:07

04 - Create the Image Model.mp4

08:04

05 - REST API theory.mp4

13:49

06 - Creating REST API with DRF.mp4

14:32

3 - Getting Started with React

07 - Introduction to React - Theory.mp4

11:12

08 - Introduction to React - Practice.mp4

01:01:14

09 - Setting Up the React Project.mp4

08:41

4 - Working on the Frontend and Backend

10 - Adding Dropzone to Our Project.mp4

11:56

11 - Continue Working on Dropzone.mp4

02:51

12 - Adding the First Spinner.mp4

03:30

13 - Adding Fontawesome to the Dropzone.mp4

07:23

14 - Integrating Django and React.mp4

08:07

15 - Displaying the State in the Consol.mp4

03:31

16 - Adding a Button and Its Conditional Display.mp4

04:08

17 - Sending Image to the Database.mp4

07:51

18 - Catching Errors.mp4

01:50

19 - Introduction to ANN.mp4

10:05

20 - How Computer Does See Images.mp4

02:58

21 - Image Classification - Part One.mp4

09:14

22 - Image Classification - Part Two.mp4

12:49

23 - Testing Our Classifier.mp4

04:21

24 - Getting the Results from the Backend.mp4

05:44

25 - Adding Spinner while Waiting for Results.mp4

04:02

26 - Adding Additional Styling.mp4

10:19

27 - Creating the Imagelist Component.mp4

02:53

28 - Displaying the Classification History.mp4

10:07

29 - Adding Load More Images Button.mp4

05:08

30 - Adding Spinners to the Image List and the Load More Button.mp4

09:32

31 - Optimizing the Imagelist Component.mp4

15:27

32 - Adding the Navigation Component.mp4

04:49

33 - Applying React Router Dom in the Navigation.mp4

08:11

5 - Conclusion

34 - Thank you.mp4

01:15

Description

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

More details

User Reviews

Rating

average 0

Total votes0

Focused display

React

Django

Python

Django Ninjas

Instructor's Courses

We are providing online educational courses mainly about python / django by the community of web developers across the globe. Our classes are project based only, that means our methodology is based on "teaching by doing". Discover with us: python, django, react js, javascript, machine / deep learning with python and much more!

PacktPub

View courses PacktPub

Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.