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

1,816 ratings
425 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

May 28, 2020

The hardest, yet most satisfying course I've ever taken in deep learning, by the end of the course I was doing stuff that was borderline sci-fi and that was just "introduction" to deep learning

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401 - 424 of 424 Reviews for Introduction to Deep Learning

By Juan S V C

Jun 13, 2021

Q​uite hard for an Introduction.

By Marina Z

Jul 7, 2020

Worst ever course on Coursera. The lectures are actually well-prepared. The programming homework assignments, however, do not meet the technical requirements of Coursera in terms of dataset volume and the time needed to run the training of the models. It's pain in the bottom to train a model as asked in the course. To transfer the notebooks to Colab to train the models on Google servers is connected to many, many, many hours of additional work to rewrite the scripts. I will not finish this course and I would not suggest to begin with, unless you have nothing to do in this world except to lose your time on the improvement of the assignments.

By Fereydoon V

Nov 11, 2017

This low-quality course sucks miserably! I still can't believe that this course has really been approved by Coursera, or perhaps Russians have compromised Coursera too?! Not only the extremely heavy accent of so-called "lecturers" makes it impossible to follow what the hell they're talking about, but also the course construction and the explanations' track lack the bare minimum of pedagogical/instructional design. These folks could have taught this course in Russian, at least it would have been usable for Russian folks!

By Akshay N

Dec 22, 2017

Not a good course.

The lectures are rushed through. At one point towards the end of week one, the lecturer just reads out the mathematical formulae on gradient descent extensions, without giving any background on their interpretation, or any examples.The number of notations used are too many to keep track of.

There are no instructions available on how to tackle assignments in Python (nor any mention of Python language as a pre-requisite).

By Scott B

Jun 12, 2019

This course is very poorly designed. The lectures are insufferable, and absolutely zero supplemental content is provided that would make it actually possible to engage in the material in any meaningful way beyond suffering through the prattle and drone of recitation of mathematical concepts. Very disappointing.

By Eduardo P

Aug 19, 2021

S​till using tensorflow 1.2. I was unable to run week3 excercises in local, directly or through docker. Colab has not working. After wasting an increadible amount of time will quit the whole specialization. Very disapointing that code is not maintained / updated.

By Dulat A

Dec 17, 2017

Quality of lectures were totally disapointing. I watched previous courses from Yandex, which were taught on Russian, and they were much better. At some points, lectures even cannot explain what they want to say. I feel like Yandex have stolen 50$ from me.

By Peter

Jan 18, 2018

Not all teachers speak english well enough. You need to be skilled python, tensorflow, karas developer. They dont explain the algorithms very well and you dont have a text book to look it up yourself..

By Aswin R

Mar 13, 2019

Very peripheral teaching. Unable to understand anything from the touch points being covered. Assignments are not at all matching with the course contents.

By Nathan N

Mar 16, 2020

Quizzes are not translated to English well, and instructors are not active on the discussion forums.

By Robert M

Jul 18, 2020

The tensorflow sections are no longer relevant and nobody answers questions about the material.

By Mohit K

Sep 7, 2018

This course goes over my head. I found this course 'callous'. Doesn't care about my learning!

By Nick

Feb 22, 2018

Awful. Questions unclear, lecturers struggle with basic english, and typos are everywhere

By Roberto M P

Jan 27, 2018

The lecturer is really bad, he is not clear and his explanations are shallow and vague.

By Aman T

Jan 3, 2021

Course was made unnecessarily complex , it could be explained in a simpler manner.

By Xiaowei X

Aug 11, 2019

The instructions are often unclear and the ipynb files often does not even run.

By krishnaraju

Apr 20, 2021

assignments can't be submitted and no instructions were given how to submit it

By 史永新

Jun 17, 2020

the test is too difficult to make me give up

By Herbert D

Mar 4, 2018

This has to be the worst course on Coursera.

By Jiahua F

Oct 13, 2020

The code in github doesn't work


Sep 6, 2020

The English is terrible!

By Philip P

Nov 3, 2019

Out dated


Dec 1, 2020



Jun 11, 2020