课程信息
192,998 次近期查看

第 1 门课程(共 7 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

完成时间大约为36 小时

建议:6 weeks of study, 6-10 hours/week...

英语(English)

字幕:英语(English), 韩语
User
学习Course的学生是
  • Data Scientists
  • Machine Learning Engineers
  • Biostatisticians
  • Data Engineers
  • Data Analysts

您将获得的技能

Recurrent Neural NetworkTensorflowConvolutional Neural NetworkDeep Learning
User
学习Course的学生是
  • Data Scientists
  • Machine Learning Engineers
  • Biostatisticians
  • Data Engineers
  • Data Analysts

第 1 门课程(共 7 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

完成时间大约为36 小时

建议:6 weeks of study, 6-10 hours/week...

英语(English)

字幕:英语(English), 韩语

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 5 小时

Introduction to optimization

9 个视频 (总计 63 分钟), 2 个阅读材料, 3 个测验
9 个视频
Course intro6分钟
Linear regression9分钟
Linear classification10分钟
Gradient descent5分钟
Overfitting problem and model validation6分钟
Model regularization5分钟
Stochastic gradient descent5分钟
Gradient descent extensions9分钟
2 个阅读材料
Welcome!5分钟
Hardware for the course10分钟
2 个练习
Linear models6分钟
Overfitting and regularization8分钟
2
完成时间为 6 小时

Introduction to neural networks

9 个视频 (总计 85 分钟), 3 个阅读材料, 4 个测验
9 个视频
Chain rule7分钟
Backpropagation9分钟
Efficient MLP implementation13分钟
Other matrix derivatives5分钟
What is TensorFlow10分钟
Our first model in TensorFlow10分钟
What Deep Learning is and is not8分钟
Deep learning as a language6分钟
3 个阅读材料
Optional reading on matrix derivatives1分钟
TensorFlow reading1分钟
Keras reading1分钟
2 个练习
Multilayer perceptron10分钟
Matrix derivatives20分钟
3
完成时间为 5 小时

Deep Learning for images

6 个视频 (总计 59 分钟), 3 个测验
6 个视频
Our first CNN architecture10分钟
Training tips and tricks for deep CNNs14分钟
Overview of modern CNN architectures8分钟
Learning new tasks with pre-trained CNNs5分钟
A glimpse of other Computer Vision tasks8分钟
1 个练习
Convolutions and pooling10分钟
4
完成时间为 4 小时

Unsupervised representation learning

9 个视频 (总计 81 分钟), 3 个测验
9 个视频
Autoencoders 1015分钟
Autoencoder applications9分钟
Autoencoder applications: image generation, data visualization & more7分钟
Natural language processing primer10分钟
Word embeddings13分钟
Generative models 1017分钟
Generative Adversarial Networks10分钟
Applications of adversarial approach11分钟
1 个练习
Word embeddings8分钟
4.6
255 个审阅Chevron Right

35%

完成这些课程后已开始新的职业生涯

38%

通过此课程获得实实在在的工作福利

15%

加薪或升职

来自Introduction to Deep Learning的热门评论

创建者 DKSep 20th 2019

one of the excellent courses in deep learning. As stated its advanced and enjoyed a lot in solving the assignments. looking forward for more such courses especially in Natural language processing

创建者 AKJun 2nd 2019

one of the best courses I have attended. clear explanation, clear examples, amazing quizzes & Programming Assignment this course is advanced level, don't enroll it if you are a new starter.

讲师

Avatar

Evgeny Sokolov

Senior Lecturer
HSE Faculty of Computer Science
Avatar

Andrei Zimovnov

Senior Lecturer
HSE Faculty of Computer Science
Avatar

Alexander Panin

Lecturer
HSE Faculty of Computer Science
Avatar

Ekaterina Lobacheva

Senior Lecturer
HSE Faculty of Computer Science
Avatar

Nikita Kazeev

Researcher
HSE Faculty of Computer Science

关于 国立高等经济大学

National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communicamathematics, engineering, and more. Learn more on www.hse.ru...

关于 高级机器学习 专项课程

This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings....
高级机器学习

常见问题

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

还有其他问题吗?请访问 学生帮助中心