Deep Learning Specialization

开始时间: 12/21/2023 持续时间: Approximately 5 months to complete Suggested pace of 9 hours/week

所在平台: Coursera专项课程

课程类别: 计算机科学

大学或机构: CourseraNew

课程主页: https://www.coursera.org/specializations/deep-learning

课程评论:没有评论

第一个写评论        关注课程

课程详情

If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.

深度学习专业化:如果您想进入AI,这个专业化将为您提供帮助。深度学习是最受追捧的技术技能之一。我们将帮助您精通深度学习。 在五门课程中,您将学习深度学习的基础,了解如何构建神经网络,并学习如何领导成功的机器学习项目。您将了解卷积网络,RNN,LSTM,Adam,Dropout,BatchNorm,Xavier / He初始化等。您将从事医疗保健,自动驾驶,手语阅读,音乐生成和自然语言处理等案例研究。您不仅将掌握该理论,还将了解其在工业中的应用。您将在我们将教授的Python和TensorFlow中实践所有这些想法。 您还将听到深度学习的许多高层领导的声音,他们将与您分享他们的个人故事并为您提供职业建议。 人工智能正在改变多个行业。完成此专业后,您可能会发现将其应用于您的作品的创造性方法。 我们将帮助您掌握深度学习,了解如何应用它,并在AI领域发展事业。

课程大纲

Course Link: https://www.coursera.org/learn/neural-networks-deep-learning

Name:Neural Networks and Deep Learning

Description:Offered by DeepLearning.AI. In the first course of the Deep Learning Specialization, you will study the foundational concept of neural ... Enroll for free.

Course Link: https://www.coursera.org/learn/deep-neural-network

Name:Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Description:Offered by DeepLearning.AI. In the second course of the Deep Learning Specialization, you will open the deep learning black box to ... Enroll for free.

Course Link: https://www.coursera.org/learn/machine-learning-projects

Name:Structuring Machine Learning Projects

Description:Offered by DeepLearning.AI. In the third course of the Deep Learning Specialization, you will learn how to build a successful machine ... Enroll for free.

Course Link: https://www.coursera.org/learn/convolutional-neural-networks

Name:Convolutional Neural Networks

Description:Offered by DeepLearning.AI. In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved ... Enroll for free.

Course Link: https://www.coursera.org/learn/nlp-sequence-models

Name:Sequence Models

Description:Offered by DeepLearning.AI. In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their ... Enroll for free.

课程评论(0条)

课程简介

Andrew Ng老师的深度学习专项系列课程(Deep Learning Specialization) ,入门深度学习首选课程。这个系列包含5门子课程,涵盖神经网络与深度学习,调参优化,机器学习项目架构,卷积神经网络和递归神经网络,感兴趣的同学可以关注:Deep Learning Specialization-Master Deep Learning, and Break into AI

课程标签

深度学习 深度学习专项 深度学习专项课程 Andrew_Ng 深度学习公开课 Andrew_Ng深度学习 RNN 卷积神经网络 递归神经网络 CNN 深度学习基础 神经网络

94人关注该课程

主题相关的课程