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

4.6
звезд
Оценки: 1,662
Рецензии: 385

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

TP
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:

101–125 из 384 отзывов о курсе Introduction to Deep Learning

автор: Ahmed N

23 апр. 2018 г.

It is great and rich contents i studied machine learning a lot and this one is very useful and beneficial to me thanks a lot.

автор: Mateusz D

2 окт. 2020 г.

Very good Course. Might be hard at some point, but with a little bit of research and dedication, you can get it done easily.

автор: Eric

5 февр. 2019 г.

An advanced class for overview for deep learning. A very wide range of the usages will let you think what you have learnt.

автор: SAHIR S

8 мар. 2018 г.

An really good introduction to Deep Learning. I think that this course is for students already familar with eep Learning

автор: Isaiah O M

15 янв. 2019 г.

The course compels you to work on the solutions and hence expose you to hand-on that are very vital for understanding

автор: Raman K

25 июня 2018 г.

Great course, very deep understanding of deep learning, things I had no idea of and things I always needed are there.

автор: Ishwar N

29 июня 2020 г.

Excellent course with lot of Maths required for deep learning and also covering advanced topics. Highly recommended.

автор: Francesco R

31 авг. 2020 г.

Stellar course with super-interesting lectures and great exercises! I have especially enjoyed the Honor material :)

автор: Amoghavarsha B

2 февр. 2020 г.

It's a very hands on course. Lots of programming assignments which really helps improve our programming skills.

автор: Joshua S Á

28 июля 2019 г.

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

автор: Murat Ö

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: Chan H Y

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: 棒棒生

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!