課程信息
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第 1 門課程(共 1 門)

100% 在線

立即開始,按照自己的計劃學習。

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高級

完成時間大約為36 小時

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

英語(English)

字幕:英語(English), 韓語

您將獲得的技能

Recurrent Neural NetworkTensorflowConvolutional Neural NetworkDeep Learning

第 1 門課程(共 1 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

高級

完成時間大約為36 小時

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

英語(English)

字幕:英語(English), 韓語

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 5 小時

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.

...
9 個視頻 (總計 63 分鐘), 2 個閱讀材料, 3 個測驗
9 個視頻
Course intro6分鐘
Linear regression9分鐘
Linear classification10分鐘
Gradient descent5分鐘
Overfitting problem and model validation6分鐘
Model regularization5分鐘
Stochastic gradient descent5分鐘
Gradient descent extensions9分鐘
2 個閱讀材料
Welcome!5分鐘
Hardware for the course10分鐘
2 個練習
Linear models6分鐘
Overfitting and regularization8分鐘
2
完成時間為 6 小時

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.

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9 個視頻 (總計 85 分鐘), 3 個閱讀材料, 4 個測驗
9 個視頻
Chain rule7分鐘
Backpropagation9分鐘
Efficient MLP implementation13分鐘
Other matrix derivatives5分鐘
What is TensorFlow10分鐘
Our first model in TensorFlow10分鐘
What Deep Learning is and is not8分鐘
Deep learning as a language6分鐘
3 個閱讀材料
Optional reading on matrix derivatives1分鐘
TensorFlow reading1分鐘
Keras reading1分鐘
2 個練習
Multilayer perceptron10分鐘
Matrix derivatives20分鐘
3
完成時間為 5 小時

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.

...
6 個視頻 (總計 59 分鐘), 3 個測驗
6 個視頻
Our first CNN architecture10分鐘
Training tips and tricks for deep CNNs14分鐘
Overview of modern CNN architectures8分鐘
Learning new tasks with pre-trained CNNs5分鐘
A glimpse of other Computer Vision tasks8分鐘
1 個練習
Convolutions and pooling10分鐘
4
完成時間為 4 小時

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.

...
9 個視頻 (總計 81 分鐘), 3 個測驗
9 個視頻
Autoencoders 1015分鐘
Autoencoder applications9分鐘
Autoencoder applications: image generation, data visualization & more7分鐘
Natural language processing primer10分鐘
Word embeddings13分鐘
Generative models 1017分鐘
Generative Adversarial Networks10分鐘
Applications of adversarial approach11分鐘
1 個練習
Word embeddings8分鐘
4.6
216 個審閱Chevron Right

29%

完成這些課程後已開始新的職業生涯

35%

通過此課程獲得實實在在的工作福利

17%

加薪或升職

來自Introduction to Deep Learning的熱門評論

創建者 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.

創建者 RKMar 1st 2019

Really Great course. I would recommend everyone to take this course but after having some "basic knowledge" of Machine Learning, Deep Learning, CNN, RNN and programming in python.

講師

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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

關於 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...

關於 高级机器学习 專項課程

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

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