MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 35 Lessons (5h 13m) | Size: 2.6 GB
Build your own AI image classification web application! What you'll 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
Requirements
basic knowledge of Python is a must
basic Django knowledge is recommended
Description
H there! Welcome to this course where we will build an AI project (Image Classifier) with the use of React, Django Rest Framework and 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 started and 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
Who this course is for
Beginner Python/Django developers
Beginner React developers
Download link:
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