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所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-neural-network-and-machine-learning-using-matlab/
课程评论：没有评论
**课程名称：** 使用MATLAB的**人工智能神经网络与机器学习** **课程概述：** 本课程旨在为希望进军机器学习领域的**经验丰富的开发者**和**初学者**提供全面指导。我们将深入讲解**多层感知机（MLP）神经网络**，不仅复习相关的理论知识，还将详细演示如何在MATLAB环境中进行**实践操作**。 MATLAB提供了**专门的工具箱和函数**，极大地**简化和加速**了神经网络的开发过程。学完本课程，您将能够运用神经网络解决**分类、聚类、模式识别、函数逼近、控制、预测和优化**等多种实际应用问题。
This course is uniquely designed to be suitable for both experienced developers seeking to make that jump to Machine learning or complete beginners who don't understand machine learning and Artificial Neural Network from the ground up.In this course, we introduce a comprehensive training of multilayer perceptron neural networks or MLP in MATLAB, in which, in addition to reviewing the theories related to MLP neural networks, the practical implementation of this type of network in MATLAB environment is also fully covered.MATLAB offers specialized toolboxes and functions for working with Machine Learning and Artificial Neural Networks which makes it a lot easier and faster for you to develop a NN. At the end of this course, you'll be able to create a Neural Network for applications such as classification, clustering, pattern recognition, function approximation, control, prediction, and optimization.
