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Отзывы учащихся о курсе Introduction to Deep Learning от партнера НИУ ВШЭ

4.6
звезд
Оценки: 1,715
•
Рецензии: 400

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: coursera@hse.ru...

Лучшие рецензии

DK
19 сент. 2019 г.

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

AM
28 мая 2020 г.

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

Фильтр по:

201–225 из 398 отзывов о курсе Introduction to Deep Learning

автор: Pranav R

•
21 нояб. 2017 г.

Liked it. It is brief and good

автор: Pavel A

•
17 окт. 2020 г.

Zimovnov is best ML lecturer.

автор: Timothy G

•
27 авг. 2019 г.

Very good course and training

автор: Neeraj k

•
28 июня 2019 г.

best method for understanding

автор: Yechiel A

•
9 янв. 2018 г.

vary professional and advance

автор: Christhian F

•
29 окт. 2019 г.

Very good and challenging!!

автор: Zein S

•
23 мар. 2018 г.

Great course

Спасибо большое

автор: Pankaj K s

•
28 июля 2020 г.

very helpful and effective

автор: Chen Z

•
31 янв. 2020 г.

Good course learned a lot!

автор: Sylvain D

•
11 сент. 2019 г.

Very nice and instructive.

автор: Muberangabo S

•
20 мая 2020 г.

Hard by totally worth it!

автор: Ivan S

•
11 нояб. 2018 г.

Great introduction course

автор: Ваганов Н

•
1 авг. 2019 г.

Interesting and NOT easy

автор: AGWU E S

•
27 апр. 2019 г.

Learned and liked a lot

автор: Jay G

•
15 сент. 2018 г.

very difficult at times

автор: Dr S M

•
1 мая 2020 г.

Good course to learn.

автор: Abdul R

•
8 окт. 2019 г.

Well prepared course!

автор: Chenglei S

•
5 июля 2018 г.

Assignments are good.

автор: Noor A K

•
26 июня 2020 г.

i took it by mistake

автор: Ezequiel A G

•
19 авг. 2018 г.

I liked this course!

автор: Nahibau R

•
13 февр. 2018 г.

Очень полезный курс.

автор: 刘岩

•
22 окт. 2018 г.

Very helpful course

автор: Alexander G

•
16 апр. 2020 г.

I've learned a lot

автор: Pavel Y

•
7 авг. 2019 г.

it was pretty good

автор: sagar s

•
29 сент. 2018 г.

Awesome. Worth it!

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