课程信息
4.6
649 个评分
155 个审阅
专项课程

第 1 门课程(共 7 门)

100% 在线

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

可灵活调整截止日期

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高级

高级

完成时间(小时)

完成时间大约为37 小时

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

英语(English)

字幕:英语(English)

您将获得的技能

Recurrent Neural NetworkTensorflowConvolutional Neural NetworkDeep Learning
专项课程

第 1 门课程(共 7 门)

100% 在线

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

可灵活调整截止日期

根据您的日程表重置截止日期。
高级

高级

完成时间(小时)

完成时间大约为37 小时

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

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 5 小时

Introduction to optimization

Welcome to the "Introduction to Deep Learning" course! In the first week you'll learn about linear models and stochatic optimization methods. Linear models are basic building blocks for many deep architectures, and stochastic optimization is used to learn every model that we'll discuss in our course....
Reading
9 个视频 (总计 63 分钟), 2 个阅读材料, 3 个测验
Video9 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
Reading2 个阅读材料
Welcome!5分钟
Hardware for the course10分钟
Quiz2 个练习
Linear models6分钟
Overfitting and regularization8分钟
2
完成时间(小时)
完成时间为 6 小时

Introduction to neural networks

This module is an introduction to the concept of a deep neural network. You'll begin with the linear model and finish with writing your very first deep network....
Reading
9 个视频 (总计 85 分钟), 3 个阅读材料, 4 个测验
Video9 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
Reading3 个阅读材料
Optional reading on matrix derivatives1分钟
TensorFlow reading1分钟
Keras reading1分钟
Quiz2 个练习
Multilayer perceptron10分钟
Matrix derivatives20分钟
3
完成时间(小时)
完成时间为 5 小时

Deep Learning for images

In this week you will learn about building blocks of deep learning for image input. You will learn how to build Convolutional Neural Network (CNN) architectures with these blocks and how to quickly solve a new task using so-called pre-trained models....
Reading
6 个视频 (总计 59 分钟), 3 个测验
Video6 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
Quiz1 个练习
Convolutions and pooling10分钟
4
完成时间(小时)
完成时间为 4 小时

Unsupervised representation learning

This week we're gonna dive into unsupervised parts of deep learning. You'll learn how to generate, morph and search images with deep learning....
Reading
9 个视频 (总计 81 分钟), 3 个测验
Video9 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
Quiz1 个练习
Word embeddings8分钟
4.6
155 个审阅Chevron Right
职业方向

22%

完成这些课程后已开始新的职业生涯
工作福利

83%

通过此课程获得实实在在的工作福利

热门审阅

创建者 YGJan 28th 2018

This is a very hands on Deep Learning class. Like the design of programming assignments a lot. It's very instructive as well as challenging! Great course. I would recommend it!

创建者 ASMar 26th 2018

Great course! The faculty does an excellent job in explaining some difficult to understand concepts. The discussion forum is very active and the course community is helpful.

讲师

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Evgeny Sokolov

Senior Lecturer
HSE Faculty of Computer Science
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Andrei Zimovnov

Senior Lecturer
HSE Faculty of Computer Science
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Alexander Panin

Lecturer
HSE Faculty of Computer Science
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Ekaterina Lobacheva

Senior Lecturer
HSE Faculty of Computer Science
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Nikita Kazeev

Researcher
HSE Faculty of Computer Science

关于 National Research University Higher School of Economics

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 communications, IT, mathematics, engineering, and more. Learn more on www.hse.ru...

关于 Advanced Machine Learning 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....
Advanced Machine Learning

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