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

4.6
stars
1,603 ratings
371 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

TP

Aug 09, 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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201 - 225 of 370 Reviews for Introduction to Deep Learning

By Jay G

Sep 15, 2018

very difficult at times

By Dr S M

May 02, 2020

Good course to learn.

By Abdul R

Oct 08, 2019

Well prepared course!

By Chenglei S

Jul 05, 2018

Assignments are good.

By Noor A K

Jun 26, 2020

i took it by mistake

By Ezequiel O A G

Aug 20, 2018

I liked this course!

By Nahibau R

Feb 13, 2018

Очень полезный курс.

By 刘岩

Oct 22, 2018

Very helpful course

By Alexander G

Apr 16, 2020

I've learned a lot

By Pavel Y

Aug 07, 2019

it was pretty good

By sagar s

Sep 29, 2018

Awesome. Worth it!

By Eli B

Apr 07, 2020

Excellent course!

By 徐雨臻

Aug 20, 2019

excellent courses

By abdul s

Nov 06, 2018

Very Good Course

By Amulya R B

Nov 05, 2017

Awesome course!

By Aleksandr G

Aug 20, 2019

Very advanced!

By Akshit V

Jul 13, 2019

Great Course!

By Edward J

Feb 28, 2018

Great course!

By Ajayi E A

Jul 05, 2020

Satisfactory

By Alfonso M

Jan 31, 2019

Good course.

By Krishna H

Jun 10, 2020

Exemplary!

By Alex

Mar 01, 2018

Nice work.

By Xiao M

Dec 19, 2017

Very gooda

By Kollipaka s

May 22, 2020

very good

By M A B

Feb 25, 2019

Excellent