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