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

1,662 ratings
385 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.

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376 - 384 of 384 Reviews for Introduction to Deep Learning

By Roberto M P

Jan 27, 2018

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

By Xiaowei X

Aug 11, 2019

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

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

By Maneesh K

Dec 1, 2020



Jun 11, 2020