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

4.6
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Оценки: 1,296
Рецензии: 290

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

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

AK

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.

Фильтр по:

226–250 из 289 отзывов о курсе Introduction to Deep Learning

автор: Andrea C

Mar 30, 2019

Very good content and top notch exercises. But sometimes the lectures are not fully comprehensible without a lot of additional reading from other sources.

автор: Zewei W

Feb 01, 2018

it is a good course with challengeable PAs and nice teachers, i like it.

Anyway... if there is more ASSERT statements in PAs, students may be much happy.

автор: Jun K

May 02, 2019

Some programming assignments were not instructed enough, so it's very hard to solve them without discussion forums. But this is good course as a whole.

автор: Anmol G

Jun 28, 2018

The assignments are great. I wish the explanations could have been as great. Having said that, the explanation of BPTT was awesome.

автор: Pablo V I

Jun 17, 2018

This course is not a deep learning introduction. The assignments are challenged and well organized, specially, the last one.

автор: Om S P

Jun 25, 2019

The peer review is slightly problematic since there is no check on whether the grader is doing the grading properly or not

автор: Alexander

Dec 13, 2018

Tell more about TensorFlow and Keras. It was hard to finish final project due to lack of the knowledge in that area.

автор: Saurabh K P

Dec 12, 2017

Lecture delivery can be improved. Content is great but may be important to break the difficult concepts even further

автор: Rainer-Anton E

Jan 15, 2018

I really love the machine learning courses from National Research University Higher School of Economics. Thank you!

автор: Pablo M P

Jul 28, 2019

It is very good although there are some problems to run some assignments due to be too heavy computationally.

автор: Rafael J F S

Apr 21, 2018

Interesting content but some videos do not explain the topics well enough and some extra study is needed.

автор: Waylon W

Oct 28, 2018

This class is great! A few professors are hard to understand but it's still OK. The homework is helpful.

автор: imran k

Feb 05, 2020

The course was awesome, I have learned lots of new things, clear some doubts, I have enjoyed a lot.

автор: Abhishek S

Jan 10, 2018

Some concepts should have been explained in more detail using more (or better) examples.

автор: Mark P

Oct 09, 2018

Yep - pretty good course that covers all the basics, and has some nice tips and tricks.

автор: Vladimir S

Jan 04, 2018

Хороший курс, но есть над чем поработать :)

Спасибо авторам и удачи слушателям!

автор: Mauro D S

Jul 28, 2018

Good intro to deep learning (RNN's well explained! Good job.)

автор: Seongeun S

Jul 28, 2018

Great course to get a first view of deep learning !

автор: SABYASACHI B

May 25, 2019

some lectures can be given at a slower pace

автор: Eric V

May 26, 2018

Great course with challenging assignments.

автор: Ting Y

Apr 13, 2018

Comprehensive intro of deep learning

автор: Siddharth P

Jan 25, 2020

Tensorflow 2 would have been great

автор: hhwaiting

Aug 24, 2018

课程有一定难度,需要有比较好的先验知识,但课程作业设置非常锻炼人

автор: Tadas Š

Oct 15, 2019

Quite good - not too basic.

автор: Chi E

Jan 13, 2019

I love the material!!