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Learner Reviews & Feedback for Introduction to Deep Learning by National Research University Higher School of Economics

4.6
1,168 ratings
263 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: coursera@hse.ru...

Top reviews

DK

Sep 20, 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

AK

Jun 02, 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.

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176 - 200 of 262 Reviews for Introduction to Deep Learning

By Alexandru C

Oct 26, 2019

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 Christhian F

Oct 29, 2019

Very good and challenging!!

By Hussein N

Nov 03, 2019

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 Sinan G

Nov 08, 2019

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

By Tanishq S

Nov 09, 2019

Really informative course on fundamentals of deep learning.

By Alexander

Dec 13, 2018

Tell more about TensorFlow and Keras. It was hard to finish final project due to lack of the knowledge in that area.

By Emanuel P F

Jan 09, 2019

It is not a introductory course! The course provides an excellent path showing the most tools in deep learning techniques but you have to spend more time looking for additional material to supplementary this course. In general you will learn the basic about Neural Networks, Convolutional Neural Networks, and Natural Language Processing.

By Chi E

Jan 13, 2019

I love the material!!

By Sachin

Mar 02, 2019

really nice course to hone your skills. but sometimes the assignments are really really tough and no hint is provided how to solve them. i was having problem because of my weak python skills. afterall course is relly nice

By Andrea C

Mar 30, 2019

Very good content and top notch exercises. But sometimes the lectures are not fully comprehensible without a lot of additional reading from other sources.

By Yaran J

Jan 06, 2019

Good overview of deep learning topics like CNN and RNN, and also hands on coding assignment of Tensorflow. However, this is a big gap between the video material and the programming assignment. Need to add more training for Tensorflow before deep learning models. And the instructors speak too fast.

By Milos V

Jan 08, 2019

Interesting and useful course. Capstone project was quite difficult, but I learned a lot - so I do not want to complain about it. Maybe a bit more code-related things during the lectures would be useful to make capstone project easier.

By Mark P

Oct 09, 2018

Yep - pretty good course that covers all the basics, and has some nice tips and tricks.

By Waylon W

Oct 28, 2018

This class is great! A few professors are hard to understand but it's still OK. The homework is helpful.

By hhwaiting

Aug 24, 2018

课程有一定难度,需要有比较好的先验知识,但课程作业设置非常锻炼人

By Prateek K

Jun 12, 2018

The content and assignments pertaining to MLP, CNN, auto-encoders are great, but I feel it a bit lacking when it came to RNNs and LSTM with the videos/explanation.

By Orazaev A

Feb 02, 2018

Good introductoral material. Most of assignments are done well, but some of them still a bit raw and to solve them students often change code written by course creators.

By Anmol G

Jun 28, 2018

The assignments are great. I wish the explanations could have been as great. Having said that, the explanation of BPTT was awesome.

By Arend Z

Feb 09, 2018

Very helpful to get a good basic understanding of the different types of neural networks and their application. After finishing the course, I do not yet feel confident enough to build my own neural network applications. Maybe this can be solved by having more programming assignments at 'beginner' level, before 'stepping up' the complexity.

The provided 'example' codes - that work after successful completion - serve as a good starting point to build your own neural networks.

By Vladimir S

Jan 04, 2018

Хороший курс, но есть над чем поработать :)

Спасибо авторам и удачи слушателям!

By nicole s

Mar 18, 2018

Very good content and teachers. Indeed advanced level, for the less advanced it would have been helpful to include some more clarifications towards solving the assignments and the mathematical derivation of the main concepts.

By Rainer-Anton E

Jan 15, 2018

I really love the machine learning courses from National Research University Higher School of Economics. Thank you!

By Abhinav U

Dec 02, 2017

It's a good course for people with some prior experience and background in machine learning (specially neural networks). The exercises and projects were a bit difficult and needed effort to get correct but helped reinforce the concepts.

By Max P Z

Nov 19, 2017

The content of the course and programming assignments is well designed. However, there're some technical issues with the assignments (eg. unable to submit the results for honor content). And some requirements for the accuracy/loss in the programming assignments are really too high.

By Tue R L C

Mar 20, 2018

This is a relative new courses which shows in some of the assignments e.g. minor mistakes and weird hacks required to pass them. The final project is a bit of a let down as it basically requires the user to do some data processing in python but no "real" machine learning.