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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