|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/deep-learning-for-beginners/
课程评论：没有评论
课程名称：初学者深度学习 课程概述：在我们的精选在线教程中，快速掌握深度学习。深度学习是机器学习、人工智能的一个子集，旨在教机器如何执行人类自然的行为，如视觉识别和物体操控。通过示例进行训练，机器能够从之前的错误中学习。例如，Waymo的无人驾驶汽车使用相同的技术，能够在看到行人过马路时减速或停止，或区分人类与交通标志。同样，手机的语音指令也是深度学习的产物。因此，深度学习的应用极为广泛，这也是许多公司渴望掌握深度学习的原因，许多公司会为此提供高薪职位。 本课程的价值：许多深度学习在线课程要么进度太快，要么缺乏足够的基础示例来帮助学习者。然而，本课程允许您从基本概念开始。如果您没有深度学习的先前知识，这门课程将非常适合您。课程从深度学习的历史和简单神经网络的初步介绍开始，由专家讲授，配备了许多实用案例。此外，课程还帮助您理解相关的基本术语，并涵盖许多重要概念，例如卷积神经网络（CNN）的分解、经典算法、数据预处理、自然语言处理等。 课程内容包括： - 深度学习简介 - 深度学习和神经网络的历史 - 线性代数公式化 - 回归与分类 - 最大池化 - 示例问题 - 宽度和高度位移 - 构建和训练模型 - 构建LSTM单元 - 强化学习 - 等等！ 通过本课程，您将熟练掌握所有深度学习的概念！今天就来尝试吧！
Master Deep Learning in No Time with Our Hand-Picked Online TutorialDeep Learning is a subset of machine learning and ergo, of AI as well. Deep learning is concerned with teaching the machines, how to perform actions that come naturally to human beings such as visual recognition and lifting objects. Here machines are trained by example and they learn from their previous errors. For example, Waymo's driverless cars run on the very same technology. Here it performs functions such as slowing down or stopping upon seeing a person crossing the road or differentiate between a human and a street-sign. Even when talking about voice commands for your mobile devices, they are a product of that too. So, the immensity of its uses are many and that is why, understanding deep learning is desired by so many companies, with many offering high salary packages for it. What Makes This Course So Valuable?In many deep learning online courses, it either moves too fast or they lack examples explaining the fundamentals to the person adequately. However, with this course, you will be able to start from the essentials. If you lack prior knowledge of deep leaning, this course would be perfect for you. The tutorial begins with basic concepts such as the history of the concept of deep learning and a brief idea about neural networks. With an expert tutor, the course comes with many practical examples. Along with that, the course also helps in understanding the rudimentary terminologies needed for the course. With that, it covers many important concepts such as breaking down a CNN, classic algorithms, data pre-processing, natural language processing and so much more. The Course IncludesIntroduction of Deep LearningHistory of Deep Learning and Neural NetworksLinear Algebraic FormalizationRegression and ClassificationMax PoolingSample ProblemWidth Shift and height ShiftBuilding and Training modelsBuilding an LSTM CellReinforcement Learning And Much more!Become Proficient in All the Concepts of Deep Learning with Our Course! Try It Today!
