Multi-Class Semantic Image Segmentation with Keras in Python

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Published 12/2022Created by Karthik KMP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 30 Lectures ( 50m ) | Size: 408.5 MB

Understand what multi-class image sntation is in computer vision
Understand the fundamentals of DeepLabv3+ (CNN)
Build and train a the multi-class image sntation model using Keras with Tensorflow as a backend using Google Colab
Learn to use the trained model to predict the snted mask of a new set of image data

Basic knowledge of Python Programming

Welcome to the "Multi-Class Semantic Image Sntation with Keras in Python" course.​

In this project, you will learn to build a multi-class image sntation deep-learning model in Keras with a TensorFlow backend from scratch. You will learn to train the model using the image dataset and perform multi-class image sntation. By the end of this course, you could build and train the deep learning multi-class image sntation model. After that, you will also be able to use the trained model to predict snted masks on new images and visualise them. Please note that you don't need a high-powered workstation to learn this exciting course. We will carry out the entire project in the Google Colab environment and Google Drive, which is free. You only need an internet connection and a free Gmail account to complete this course. This is a practical course, we will focus on Python programming, and you will understand every part of the program very well. The multi-class image sntation course applies to many industries, especially the autonomous industry, healthcare, aerial imagery, geo-sensing, precision agriculture, etc. You can add this project to your portfolio, which is essential for your following job interview. This course is designed most straightforwardly to utilise your wisely. Happy learning.

Bners starting out to the field of Deep Learning
Industry professionals and aspiring data scientists
People who want to know how to write their image sntation code

HomePage:
Code:
https://www.udemy.com/course/imagesntation/



DOWNLOAD
Code:
https://1dl.net/5wghw5h3lnov



 

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