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CourseraArtificial IntelligenceFree courseAdvanced levelCertificate

Introduction to Deep Learning

Created by: Evgeny Sokolov

Produced in 2017

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Overall Score : 86 / 100

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Course Description

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. Learners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. In the course project learner will implement deep neural network for the task of image captioning which solves the problem of giving a text description for an input image.The prerequisites for this course are: 1) Basic knowledge of Python.2) Basic linear algebra and probability.Please note that this is an advanced course and we assume basic knowledge of machine learning. You should understand:1) Linear regression: mean squared error, analytical solution.2) Logistic regression: model, cross-entropy loss, class probability estimation.3) Gradient descent for linear models. Derivatives of MSE and cross-entropy loss functions.4) The problem of overfitting.5) Regularization for linear models.Do you have technical problems? Write to us: coursera@hse.ru

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Instructor Details

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Evgeny Sokolov graduated from Moscow State University in 2013 with a computer science degree. Evgeny is a lead data scientist at Yandex.Zen - personal recommendations service created by Yandex, russian search giant. Evgeny is also a senior lecturer and deputy head of Big Data and Information Retrieval department at Higher School of Economics - one of Russia's top universities, where he reads courses on machine learning and helps to introduce data science courses into all B.Sc. programs.

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Reviews

4.3

252 reviews in total

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By Tanishq S on 9-Nov-19

Really informative course on fundamentals of deep learning.

By Sinan G on 8-Nov-19

Wide and deep range of important topics, a high level for an introduction course.

By Philip G on 3-Nov-19

Out dated

By Hussein N on 3-Nov-19

I really enjoyed this course and how practical it is. It was super exciting to make the a practical application with transfer learning only after 4 weeks

By Christhian F on 29-Oct-19

Very good and challenging!!

By Alexandru C on 26-Oct-19

It is quite a rare case, but the course is quite challenging, in a good way. I would definitely not recommend you to start machine learning with it, but it is a good course to advance

By Pun C S on 18-Oct-19

Quite In depth introduction on Deep learning. But you need to have a solid background on python and machine learning in order to catch up the materials

By Tadas Š on 15-Oct-19

Quite good - not too basic.

By Ivan M on 14-Oct-19

Frankly speaking, I want to set 3 or 2 stars because of: 1) Many non-documented issues which I have writing code for assignments. 2) Material have been made in many foreign languages, but Russian is forgotten and it dissapointed me (hello from Moscow!)3) Some task descriptions are not actual.4) Coursera notebooks version is not equals github version (I checked it in GAN).But hard to learn easy in battle, right? I learn more when try to pass Numpy NN, GAN, LSTM and etc in spite of material, English (I realise that it is very difficult task to fit a lot of material in 5/10/15 minutes. Alexander Panin tried to do it=)). It was very hard, but I did it. I realised that the authors of the course have many important projects and haven't enough time for the courses. So, I want to wish them success in their job and continue work on this course. I believe that they can do better. That's why I set 5 starts. Good luck!

By Abdul R on 8-Oct-19

Well prepared course!

By Xin Q on 8-Oct-19

A really nice course as an introduction to DL.

By Thomas F on 5-Oct-19

Great course! How to use deep neuro nets for image recognition!

Showing 12 of 252 reviews