Neural Networks and Deep Learning

开始时间: 04/22/2022 持续时间: Unknown

所在平台: CourseraArchive

课程类别: 计算机科学

大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/neural-networks-deep-learning

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课程详情

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning. When you finish this class, you will: - Understand the major technology trends driving Deep Learning - Be able to build, train and apply fully connected deep neural networks - Know how to implement efficient (vectorized) neural networks - Understand the key parameters in a neural network's architecture This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. This is the first course of the Deep Learning Specialization.

神经网络和深度学习:如果您想进入尖端的AI,本课程将为您提供帮助。深度学习工程师备受追捧,掌握深度学习将为您提供许多新的职业机会。深度学习也是一种新的“超级力量”,它将使您能够构建几年前无法实现的人工智能系统。 在本课程中,您将学习深度学习的基础。完成本课程后,您将: -了解推动深度学习的主要技术趋势 -能够构建,训练和应用完全连接的深度神经网络 -知道如何实现有效的(矢量化)神经网络 -了解神经网络架构中的关键参数 本课程还教您深度学习的实际工作原理,而不是仅提供粗略的描述或表面描述。因此,完成学习之后,您将能够将深度学习应用于自己的应用程序。如果您正在寻找AI的工作,那么在完成此课程之后,您还可以回答基本的面试问题。 这是深度学习专业课程的第一门课程。

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课程简介

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers

课程标签

AI 深度学习 Deep-Learning 神经网络

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