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Отзывы учащихся о курсе Introduction to Deep Learning от партнера Национальный исследовательский университет "Высшая школа экономики"

Оценки: 1,538
Рецензии: 357

О курсе

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:

Лучшие рецензии


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


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 из 356 отзывов о курсе Introduction to Deep Learning

автор: SagarSrinivas

Sep 25, 2018

Awesome!. Worth the bucks spend!.

автор: Andreas B

Jan 10, 2019

great course - I learned a lot!

автор: Phumlani M

Jul 06, 2020

Enjoyable course. A must take.

автор: Hera K

Jul 30, 2019

It was an amazing experience..

автор: Dominik K

Nov 15, 2018

Great course. I learned a lot.

автор: Pranav R

Nov 21, 2017

Liked it. It is brief and good

автор: Timothy G

Aug 27, 2019

Very good course and training

автор: Neeraj k

Jun 28, 2019

best method for understanding

автор: Yechiel A

Jan 09, 2018

vary professional and advance

автор: Christhian F

Oct 29, 2019

Very good and challenging!!

автор: Zein S

Mar 24, 2018

Great course

Спасибо большое

автор: pankaj s

Jul 28, 2020

very helpful and effective

автор: Chen Z

Jan 31, 2020

Good course learned a lot!

автор: Sylvain D

Sep 11, 2019

Very nice and instructive.

автор: Muberangabo s

May 20, 2020

Hard by totally worth it!

автор: Ivan S

Nov 11, 2018

Great introduction course

автор: Ваганов Н

Aug 01, 2019

Interesting and NOT easy

автор: AGWU E S

Apr 27, 2019

Learned and liked a lot

автор: Jay G

Sep 15, 2018

very difficult at times

автор: Dr S M

May 02, 2020

Good course to learn.

автор: Abdul R

Oct 08, 2019

Well prepared course!

автор: Chenglei S

Jul 05, 2018

Assignments are good.

автор: Noor A K

Jun 26, 2020

i took it by mistake

автор: Ezequiel A

Aug 20, 2018

I liked this course!

автор: Nahibau R

Feb 13, 2018

Очень полезный курс.