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所在平台: Udemy |
课程主页: https://www.udemy.com/course/imagesegmentation/
课程评论：没有评论
课程名称：使用Keras和Python进行多类语义图像分割 课程概述：欢迎参加“使用Keras和Python进行多类语义图像分割”课程。在这个项目中，您将学习如何从零开始在Keras中构建一个多类图像分割深度学习模型，并使用TensorFlow作为后端。您将学会如何利用图像数据集训练模型，并执行多类图像分割。在课程结束时，您将能够构建和训练深度学习的多类图像分割模型。随后，您还将能够使用训练好的模型对新图像进行分割并进行可视化。请注意，学习本课程不需要高配工作站。我们将整个项目在免费的Google Colab环境和Google Drive中进行，您只需通过互联网连接和一个免费的Gmail账号即可完成课程。 本课程侧重于实际操作，您将深入理解每个程序部分。多类图像分割课程适用于多个行业，特别是自动化、医疗、航空影像、地理传感、精准农业等。您可以将这个项目添加到您的个人作品集中，这对您的求职面试非常重要。课程旨在最有效地利用您的时间，祝您学习愉快。
Welcome to the "Multi-Class Semantic Image Segmentation with Keras in Python" course. In this project, you will learn to build a multi-class image segmentation 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 segmentation. By the end of this course, you could build and train the deep learning multi-class image segmentation model. After that, you will also be able to use the trained model to predict segmented 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 segmentation 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 time wisely. Happy learning.
