Image Classifier with Django and React

Image Classifier with Django and React, available at $54.99, has an average rating of 4.2, with 45 lectures, based on 88 reviews, and has 14639 subscribers.

You will learn about How to create REST API with Django Rest Framework How to implement "drag and drop" functionality with Dropzone How to integrate Django and React How to integrate Keras Neural Network Model with Django How to create Single Page Application How the basic of React work How to add features to React app like: load more or spinners How to classify images on the backend This course is ideal for individuals who are Beginner Python/Django developers or Beginner React developers It is particularly useful for Beginner Python/Django developers or Beginner React developers.

Enroll now: Image Classifier with Django and React

Summary

Title: Image Classifier with Django and React

Price: $54.99

Average Rating: 4.2

Number of Lectures: 45

Number of Published Lectures: 45

Number of Curriculum Items: 45

Number of Published Curriculum Objects: 45

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

How to create REST API with Django Rest Framework
How to implement "drag and drop" functionality with Dropzone
How to integrate Django and React
How to integrate Keras Neural Network Model with Django
How to create Single Page Application
How the basic of React work
How to add features to React app like: load more or spinners
How to classify images on the backend

Who Should Attend

Beginner Python/Django developers
Beginner React developers

Target Audiences

Beginner Python/Django developers
Beginner React developers

H there! Welcome to this course where we will build an AI project (Image Classifier) with the use of React, Django Rest Frameworkand one of the Keras pretrained models. If you have your own Convolutional Neural Network model created in Keras*, you will also learn how to integrate it with Django.

For the next hours we will create our project, step by step implementing new functionalities and understanding the foundations of how our frontend and backend works. At the end you will have a modern application that will classify images for you and will store the classification history.

Are you ready to get startedand created a cool, modern project that will look great in your portfolio??

*Please notice that this is not a course on how to create Deep Learning Neural Network. We will used a ready model from Keras apllications. If you have your own model, you will understand how you can integrate it with Django.

Course Curriculum

Chapter 1: Introduction

Lecture 1: How to get started

Lecture 2: Source code for this training

Lecture 3: Course files

Chapter 2: Getting started with Django

Lecture 1: Code editor

Lecture 2: Before project setup

Lecture 3: Setting up the Django project

Lecture 4: Setting up the Django project – notes

Lecture 5: [WINDOWS] Setting up the project – notes

Lecture 6: Create the Image Model

Lecture 7: REST API theory

Lecture 8: Creating REST API with DRF

Chapter 3: Getting started with React

Lecture 1: Intro to React: theory

Lecture 2: Intro to React: practice

Lecture 3: Setting up the React project

Chapter 4: Working on the frontend & backend

Lecture 1: Adding Dropzone to our project

Lecture 2: Continue working on Dropzone

Lecture 3: Adding the first spinner

Lecture 4: Adding fontawesome to the Dropzone

Lecture 5: Integrating Django and React

Lecture 6: Displaying the state in the console

Lecture 7: Adding a button and it's conditional display

Lecture 8: Sending image to the database

Lecture 9: Catching errors

Lecture 10: Intro to ANN

Lecture 11: How computer does see images

Lecture 12: Image classification part 1

Lecture 13: Image classification part 2

Lecture 14: Testing our classifier

Lecture 15: Getting the results from the backend

Lecture 16: Adding spinner while waiting for results

Lecture 17: Adding additional styling

Lecture 18: Creating the ImageList component

Lecture 19: Displaying the classification history

Lecture 20: Adding load more images button

Lecture 21: Adding Spinners to the image list and the load more button

Lecture 22: Optimizing the ImageList component

Lecture 23: Adding the Navigation component

Lecture 24: 29_Applying React router dom in the Navigation

Chapter 5: Integrating own CNN with Django

Lecture 1: Introduction

Lecture 2: Cifar 10 dataset

Lecture 3: Save the model

Lecture 4: New code for the models.py file

Lecture 5: Video – how to apply changes

Chapter 6: Outro, bonus & next steps

Lecture 1: Outro

Lecture 2: Next steps

Instructors

Django Ninjas
Coding all about Django

Rating Distribution

1 stars: 4 votes
2 stars: 3 votes
3 stars: 16 votes
4 stars: 23 votes
5 stars: 42 votes

Frequently Asked Questions

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