|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/introduction-tensorflow
课程评论：没有评论
课程名称：人工智能、机器学习与深度学习的TensorFlow入门 课程概述：如果您是一名软件开发人员，希望构建可扩展的人工智能算法，了解如何使用相关工具至关重要。本课程是即将推出的“TensorFlow中的机器学习”专业的一部分，将教您如何最佳地使用TensorFlow这一流行的开源机器学习框架。Andrew Ng的机器学习课程和深度学习专业提供了机器学习和深度学习的基础原则。本课程旨在教您如何使用TensorFlow实施这些原则，使您能够开始构建和应用可扩展模型来解决实际问题。为了更深入理解神经网络的工作原理，建议您学习深度学习专业课程。 课程大纲： 1. 新的编程范式 - 描述：欢迎参加本课程，您将从基础到精通TensorFlow。在第一周，您将对机器学习和深度学习有一个软性介绍，这些内容将为您提供新的编程范式，开启之前未探索的场景。您只需具备一些基本的编程技能，后续内容将逐步学习。 2. 计算机视觉介绍 - 描述：在第二周，您将进一步深入，将机器学习和深度学习应用于计算机视觉问题，仅需几行代码即可解决。 3. 通过卷积神经网络增强视觉 - 描述：在第三周，您将学习如何改进基本的计算机视觉神经网络，通过与Andrew和Laurence的讨论了解更好的方法。 4. 处理真实世界的图像 - 描述：上一周您学习了使用卷积提高深度神经网络的效果，本周将讨论如何处理复杂图像，包括如何应对较大的图像或特征位置不固定的情况。 通过本课程，您将掌握TensorFlow的最佳实践，为构建实用的AI模型打下坚实的基础。
Name:A New Programming Paradigm
Description:Welcome to this course on going from Basics to Mastery of TensorFlow. We're excited you're here! In Week 1, you'll get a soft introduction to what Machine Learning and Deep Learning are, and how they offer you a new programming paradigm, giving you a new set of tools to open previously unexplored scenarios. All you need to know is some very basic programming skills, and you'll pick the rest up as you go along. To get started, check out the first video, a conversation between Andrew and Laurence that sets the theme for what you'll study...
Name:Introduction to Computer Vision
Description:Welcome to week 2 of the course! In week 1 you learned all about how Machine Learning and Deep Learning is a new programming paradigm. This week you’re going to take that to the next level by beginning to solve problems of computer vision with just a few lines of code! Check out this conversation between Laurence and Andrew where they discuss it and introduce you to Computer Vision!
Name:Enhancing Vision with Convolutional Neural Networks
Description:Welcome to week 3! In week 2 you saw a basic Neural Network for Computer Vision. It did the job nicely, but it was a little naive in its approach. This week we’ll see how to make it better, as discussed by Laurence and Andrew here.
Name:Using Real-world Images
Description:Last week you saw how to improve the results from your deep neural network using convolutions. It was a good start, but the data you used was very basic. What happens when your images are larger, or if the features aren’t always in the same place? Andrew and Laurence discuss this to prepare you for what you’ll learn this week: handling complex images!
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
