Chevron Left
Вернуться к Introduction to Deep Learning

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

Оценки: 1,698
Рецензии: 395

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

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

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:

126–150 из 393 отзывов о курсе Introduction to Deep Learning

автор: 基伦

17 янв. 2018 г.

Great course. Really helpful hands-on practice problems and coding assignments. Recommended!

автор: Igor P

18 нояб. 2018 г.

Strongly recommended for those interested in current state of machine learning algorithms

автор: Veronika C

15 дек. 2020 г.

Отличный курс. Знать бы еще как с него выйти, чтоб продолжить что-то другое проходить.

автор: Andrey M

1 янв. 2020 г.

Very nice course to meet deep learning. Based on "Learn by doing". Very good teachers.

автор: Yu Q

7 апр. 2019 г.

Brief but clear lessons for intermediate level students with not-easy assignments. :)

автор: Haidar A

1 мая 2020 г.

would have been even better if the pre-programs in the notebooks were also explained

автор: Sinan G

8 нояб. 2019 г.

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

автор: Amey B

5 июня 2019 г.

Awesome course with great Deep learning challenges to solve. Simply loved it.

автор: Alex S

28 окт. 2018 г.

Thank for the teachers, I have a deeply impression to the style of teachers.

автор: Prateek G

20 мар. 2019 г.

This course is very demanding. So, please listen to the lectures carefully.

автор: Muhammad S

29 июня 2019 г.

Thanks for providing such a great course. Very productive and informative.

автор: Stephane H

21 сент. 2018 г.

Great course, properly hard, learned a lot, not for the faint of heart !

автор: Maksim A

19 сент. 2018 г.

not very deep, but well-performed introduction to deep neural networks

автор: Ali A

25 апр. 2020 г.

Very good! a big thank you to all lecturers that built this course :)

автор: Paul É D

20 нояб. 2018 г.

Such a nice course, which is far more that an "introduction". Thanks

автор: Semyon F

4 авг. 2020 г.

Quite challenging and has good balance between theory and homeworks

автор: Nimish S

5 дек. 2017 г.

A fast paced but very indepth look. Programming exercises are great

автор: Swapnil K B

11 апр. 2019 г.

One of the best courses on deep learning . Kudos to the creators.

автор: Bruno F

17 мар. 2019 г.

Tough course. You are happy and proud when you get it to the end.


6 июля 2020 г.

One of the best courses on Coursera for practical deep learning!

автор: Akash C

4 окт. 2018 г.

Nice course to learn some advance level Machine Learning stuffs.

автор: Pronay k p

23 янв. 2021 г.

It was an amazing journey. I enjoyed this course and the tasks.

автор: Andrei R

3 дек. 2020 г.

Great course by HSE: great balance between theory and practice.

автор: Sajal C

17 июня 2020 г.

Very good and informative. Should have basic concept knowledge.

автор: Thomas F

5 окт. 2019 г.

Great course! How to use deep neuro nets for image recognition!