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所在平台: Udemy |
课程主页: https://www.udemy.com/course/from-machine-learning-to-deep-learning/
课程评论：没有评论
**课程名称：** 从机器学习到深度学习 (From Machine Learning to Deep Learning) **课程概述：** 本课程旨在帮助学习者解决在理解机器学习 (ML) 和深度学习 (DL) 之间的关系时遇到的常见疑问，例如： * 为什么深度学习如此重要？ * 为什么神经网络模型通常比传统机器学习模型表现更优？ * 深度学习和机器学习是截然不同的技术，还是有着紧密的联系？ * 深度学习是如何从机器学习中发展而来的？ **课程内容：** 课程将涵盖经典的机器学习模型，包括线性回归、感知器和逻辑回归，以及一种深度学习模型——全连接神经网络 (Dense Neural Network)。课程共分为四个章节（视频），通过一个名为 S 先生的传奇人物的“人生故事”来展示他如何运用机器学习和深度学习模型解决生活中的实际问题，如社交聚会、约会、寻找灵魂伴侣，并最终找到合适的结婚对象。通过 S 先生的经历，学习者将深刻理解神经网络的优势以及机器学习和深度学习之间的紧密联系。视频中将包含有趣的场景和简洁的数值示例与解释。 **适合人群：** 本课程特别适合以下人群： * 无论是否有计算机科学背景，希望在无需编码和过多数学复杂性的情况下，从技术层面理解深度学习的学习者。 * 机器学习或深度学习初学者。 * 希望了解“为什么神经网络比机器学习模型表现更好”以及“深度学习如何从机器学习演变而来”的学习者。 * 从事人工智能研究，但对神经网络的功能性存在基本疑问的研究人员。
Why this Course?Lot of us might have experienced difficulty when relating Machine Learning and Deep Learning models. This course aims to answer usual doubts such as,Why Deep Learning?Why Neural Network performs better than Machine Learning models?Deep Learning and Machine Learning are totally different technologies or they are much related?How Deep Learning evolved from Machine Learning?What it Covers?The course covers Machine Learning models such as Linear Regression, Perceptron, Logistic Regression and a Deep Learning model Dense Neural Network. The four chapters (videos) of the course deal with the adult life of a Legend named Mr. S and show how he used the Machine Learning and Deep Learning models to solve interesting problems such as partying, dating, searching for soulmate and eventually marrying the suitable girl in his life. Through the journey of Mr. S, you will finally get to know why Neural Network performs better & how Machine Learning and Deep Learning are related. Videos contain interesting scenarios with simple numerical examples and explanations.Who can opt for this Course?This course will be highly useful for those individuals,Who does/doesn't have CS background and wants to understand Deep Learning technically without coding & too much mathematics.Who are getting started with Machine Learning or Deep Learning.Who seeks the answer: Why Neural Network perform better than Machine Learning models and how Deep Learning evolved from Machine Learning.Who does research AI and have fundamental doubts about functionality of Neural Networks.
