TensorFlow in Practice Specialization
开始时间： 08/08/2020 持续时间： Unknown
- 所在平台： [Coursera]
- 课程类别： [计算机科学]
- 大学或机构： [CourseraNew]
- 课程主页： https://www.coursera.org/specializations/tensorflow-in-practice
费用
0
语言
英语
国内翻译链接
无
课程详情
Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry! AI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. Looking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.
TensorFlow在实践专业化中的应用：探索软件开发人员在流行的开源机器学习框架TensorFlow中构建可扩展的AI驱动算法的工具。 在这四门专业课程中，您将探索AI应用程序带来的令人兴奋的机会。从对如何构建和训练神经网络的理解开始。在您训练卷积以识别实际图像时，使用卷积来改善网络的性能。您将教机器使用自然语言处理系统来理解，分析和响应人类语音。学习处理文本，将句子表示为向量以及将数据输入到神经网络。您甚至会训练AI来创作原创诗歌！ 人工智能已经在改变世界各地的产业。完成本专业课程后，您将可以将新的TensorFlow技能应用于各种问题和项目。 寻找更多高级TensorFlow内容？查看新的TensorFlow：数据和部署专业化。
入门难度
❤️❤️❤️
先修课程
python
课程简介
Andrew Ng老师的deepIearning.ai和Google Brain团队联合出品的TensorFlow实战专项课程（TensorFlow in Practice Specialization），该课程最后一门子课程近期刚刚上线。这个系列包括4门子课程，涵盖面向人工智能、机器学习和深度学习的TensorFlow导引，TensorFlow中的卷积神经网络，自然语言处理，时间序列及预测，感兴趣的同学可以关注：Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework.
课程详情
Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry! AI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. Looking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization.
TensorFlow在实践专业化中的应用：探索软件开发人员在流行的开源机器学习框架TensorFlow中构建可扩展的AI驱动算法的工具。 在这四门专业课程中，您将探索AI应用程序带来的令人兴奋的机会。从对如何构建和训练神经网络的理解开始。在您训练卷积以识别实际图像时，使用卷积来改善网络的性能。您将教机器使用自然语言处理系统来理解，分析和响应人类语音。学习处理文本，将句子表示为向量以及将数据输入到神经网络。您甚至会训练AI来创作原创诗歌！ 人工智能已经在改变世界各地的产业。完成本专业课程后，您将可以将新的TensorFlow技能应用于各种问题和项目。 寻找更多高级TensorFlow内容？查看新的TensorFlow：数据和部署专业化。
课程大纲
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Convolutional Neural Networks in TensorFlow
Natural Language Processing in TensorFlow
Sequences, Time Series and Prediction
