Deep Learning Specialization
Master Deep Learning, and Break into AI
本專項課程介紹
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.
製作方：
行業合作夥伴：
5 courses
按照建議的順序或選擇您自己的順序。
項目
旨在幫助您實踐和應用所學到的技能。
證書
在您的簡歷和領英中展示您的新技能。
項目概覽
課程
- Intermediate Specialization.
- Some related experience required.
第 1 門課程
Neural Networks and Deep Learning
- 課程學習時間
- 4 weeks of study, 3-6 hours a week
- 字幕
- English, Chinese (Traditional), Chinese (Simplified), Portuguese (Brazilian), Korean, Turkish, Japanese
課程概述
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您可以選擇只參加本課程。 了解更多。
第 2 門課程
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- 課程學習時間
- 3 weeks, 3-6 hours per week
- 字幕
- English, Chinese (Traditional), Chinese (Simplified), Korean, Turkish
課程概述
This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also您可以選擇只參加本課程。 了解更多。
第 3 門課程
Structuring Machine Learning Projects
- 課程學習時間
- 2 weeks of study, 3-4 hours/week
- 字幕
- English, Korean, Chinese (Traditional), Chinese (Simplified)
課程概述
You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is您可以選擇只參加本課程。 了解更多。
第 4 門課程
Convolutional Neural Networks
- 課程學習時間
- 4 weeks of study, 4-5 hours/week
- 字幕
- English, Chinese (Traditional), Korean
課程概述
This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from您可以選擇只參加本課程。 了解更多。
第 5 門課程
Sequence Models
- 字幕
- English, Chinese (Simplified)
課程概述
This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in s您可以選擇只參加本課程。 了解更多。
製作方
Andrew Ng
Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain
Teaching Assistant - Younes Bensouda Mourri
Mathematical & Computational Sciences, Stanford University, deeplearning.ai
Head Teaching Assistant - Kian Katanforoosh
Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec
FAQs
More questions? Visit the Learner Help Center.
