Chevron Left
Back to Introduction to Deep Learning

Learner Reviews & Feedback for Introduction to Deep Learning by HSE University

1,806 ratings
421 reviews

About the Course

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:

Top reviews

Sep 19, 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

Aug 8, 2020

A very good course and it is truly insightful. This course deals with more on the concepts therefore I have a better understanding of what is really happening when I build deep learning models.

Filter by:

151 - 175 of 422 Reviews for Introduction to Deep Learning

By Stephane H

Sep 21, 2018

Great course, properly hard, learned a lot, not for the faint of heart !

By Nathaniel C

Mar 15, 2021

Challenging, but worth it! Excellent resources, and great instructors.

By Maksim A

Sep 19, 2018

not very deep, but well-performed introduction to deep neural networks

By Ali A

Apr 25, 2020

Very good! a big thank you to all lecturers that built this course :)

By Paul É D

Nov 20, 2018

Such a nice course, which is far more that an "introduction". Thanks

By Semyon F

Aug 4, 2020

Quite challenging and has good balance between theory and homeworks

By Nimish S

Dec 5, 2017

A fast paced but very indepth look. Programming exercises are great

By Swapnil K B

Apr 11, 2019

One of the best courses on deep learning . Kudos to the creators.

By Bruno F

Mar 17, 2019

Tough course. You are happy and proud when you get it to the end.


Jul 6, 2020

One of the best courses on Coursera for practical deep learning!

By Akash C

Oct 4, 2018

Nice course to learn some advance level Machine Learning stuffs.

By Pronay k p

Jan 23, 2021

It was an amazing journey. I enjoyed this course and the tasks.

By Andrei R

Dec 3, 2020

Great course by HSE: great balance between theory and practice.

By Sajal C

Jun 17, 2020

Very good and informative. Should have basic concept knowledge.

By Thomas F

Oct 5, 2019

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

By Evgeny K

Feb 24, 2018

Course is compact and at the same time very focused. Recommend.

By Hemanth K

Mar 19, 2019

Good Course. Very informative and the assignments teach a lot.

By Yunfei D

Aug 5, 2018

I learnt some good ideas which can not get from other courses.

By Wei X

Aug 16, 2018

nice course. Program assignment is hard but very beneficial.

By Zoltan S

Apr 8, 2018

It is fast paced. One of the best courses I have ever taken.

By Tanishq S

Nov 9, 2019

Really informative course on fundamentals of deep learning.

By Dmitry

Sep 29, 2019

Good starting point! Thanks to the creators of the course.

By Ravindran M

Dec 4, 2018

Good course. More detailed lectures may have been helpful.

By Subham T 1

Feb 21, 2018

Nice course with all the concepts explained in a lucid way

By Udith D B H

Mar 12, 2020

Excellent course which expects much practical knowledge.