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

Оценки: 1,814
Рецензии: 425

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

8 авг. 2020 г.

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.

Фильтр по:

126–150 из 423 отзывов о курсе Introduction to Deep Learning

автор: Joshua S

28 июля 2019 г.

Great course and great teachers, all information very updated and the materials of the course are really useful

автор: Murat O

21 мая 2019 г.

It is a well prepared course which includes lots of tips and trick and theoretical background to be successful.

автор: Yijie Z

17 янв. 2020 г.

Taking Andrew's machine learning class helps you enter the world, this series would take you to another level

автор: Cristian C

28 апр. 2020 г.

Very good course overall! I particularly liked the curriculum and the explanations of non trivial concepts.

автор: Lukas K

3 авг. 2019 г.

Nice introduction to the deep learning. Quick and overall summary of all basic fields of Deep Learning.

автор: Ho Y C

16 апр. 2018 г.

This course is an advance course which requires some background in machine learning or deep learning.

автор: LEANDRO A H T

18 сент. 2020 г.

This is a great and complete course in Machine Learning. Thanks a lot to the instructors, great job!

автор: Chih-Sheng C

12 окт. 2018 г.

Clearly explained how backprop can be efficiently done in matrix form. Course materials are great!

автор: Amit K J

28 февр. 2020 г.

A must-needed certification for deep learning practitioners. I highly recommend this to everyone.

автор: Hulot

19 мар. 2019 г.

Fine introduction to DL (keras and tensorflow) with a good mathematic explanation of what we do.

автор: Briag D

28 дек. 2017 г.

This course has very interesting projects that can be expanded and it is a challenging course.

автор: Jason M C

25 мая 2018 г.

Fantastically challenging and even as a Data Science professional, I learned a few new things!

автор: Reena O

1 июня 2020 г.

This course provides good study material, assignment and quizzes. Really enjoyed this course.

автор: Juan M C A

4 дек. 2018 г.

Great amazing high level introduction, with additional resources to reinforce if u are stuck.

автор: Emilio P

14 мар. 2019 г.

Very good quality learning and challenging assignments, as expected from an advanced course.

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: 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.