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所在平台: Udemy |
课程主页: https://www.udemy.com/course/objectdetection/
课程评论：没有评论
课程名称：使用Python和Keras在自定义数据集上进行目标检测 课程概述：欢迎参加“使用Python和Keras在自定义数据集上进行目标检测”课程。在本课程中，您将学习如何从零开始在Keras中创建一个视觉变换器，并利用TensorFlow作为后台进行训练，以解决目标检测问题。请注意，您不需要高性能的工作站即可学习这门课程。我们将整个项目在免费的Google Colab环境中进行，您只需一条互联网连接和一个免费的Gmail帐户即可完成本课程。 本课程具有实用性，重点在Python编程，您将深入理解程序的每个部分。完成这门课程后，您将能够使用Keras和TensorFlow作为后台构建和训练深度学习网络，能够可视化数据并利用模型对新数据进行预测。这个目标检测课程具有实用性，直接适用于多个行业。您可以将这个项目添加到您的项目组合中，这对您之后的求职面试至关重要。课程设计直观，旨在有效利用您的时间。祝您学习愉快！ 根据最新数据，深度学习工程师的平均薪资为$143,793，但薪资范围通常在$124,179到$165,138之间。
Welcome to the "Object Detection on Custom Dataset with Keras using Python" course. In this course, you will learn how to create a Vision Transformer in Keras with a TensorFlow backend from scratch, and you will learn to train the deep learning model to solve object detection problems. Please note that you don't need a high-powered workstation to learn this course. We will be carrying out the entire project in the Google Colab environment, 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. By the end of this course, you will be able to build and train the deep learning network using Keras with TensorFlow as a backend. You will also be able to visualise data and use the model to make predictions on new data. This object detection course is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your following job interview. This course is designed most straightforwardly to utilise your time wisely. Happy learning.How much does a Deep Learning Engineer make? (Source: salary(dot)com)The average Deep Learning Engineer's salary is $143,793 as of August 29, 2022, but the salary range typically falls between $124,179 and $165,138.
