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Opiniones y comentarios de aprendices correspondientes a Introduction to Deep Learning por parte de HSE University

4.5
estrellas
1,843 calificaciones
431 reseña

Acerca del Curso

The goal of this online 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....

Principales reseñas

DK
19 de sep. de 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

TP
8 de ago. de 2020

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.

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326 - 350 de 429 revisiones para Introduction to Deep Learning

por Смирнов К С

13 de ene. de 2021

The course is very good but one of the speaker - Alexander Panin - has very bad english pronunciation. It was too difficult to understand what he told

por Rmn A

8 de sep. de 2020

the pronunciation need to be improved.

the course is not self contained, it must orient the participant to external more complete resources.

por Anmol g

28 de jun. de 2018

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

por Amuj K

11 de may. de 2020

course content is right .one thing that i like most is programming Assignment . Real world projects seems to be fruitful for me .

por Clément S

19 de dic. de 2020

Notebooks are lacking explanations and lecturers do not have a good Ensglish accent. Otherwise, great and challenging content

por Pablo V I

17 de jun. de 2018

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

por Om S P

25 de jun. de 2019

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

por Федоров И Д

6 de may. de 2020

All in all, material is quite good. Programming assignments are interesting but way too easy, even the final project.

por flora

20 de oct. de 2020

Could you please provide the slides/ppt ? It's necessary for reviewing again and again. Video is not as convenient.

por Nikhil B

27 de jul. de 2020

Nice course. leaarned the inner workings of neural networks. Though I felt some lack in teaching actual coding part.

por Alexander K

13 de dic. de 2018

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

por Saurabh K P

12 de dic. de 2017

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

por Deleted A

15 de ene. de 2018

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

por MP

28 de jul. de 2019

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

por Rafael J F S

21 de abr. de 2018

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

por Wenlong W

27 de oct. de 2018

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

por Tuấn L

1 de jun. de 2020

This course is very good, but there are some topics which are very difficult to completely understand

por Ciprian C C

4 de oct. de 2021

Many interesting things! One note: some exercises and topics are too complex (like RNN for example).

por imran k

5 de feb. de 2020

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

por giovani .

18 de abr. de 2020

c'est terrible que la version du Keras est désactualizé, mais le cours est tellement bien!

por Parikshith S

2 de jun. de 2020

Amazing content.But notebooks need to be updated.

Actually requires good python knowledge

por Abhishek S

9 de ene. de 2018

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

por Mark P

9 de oct. de 2018

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

por Vladimir S

4 de ene. de 2018

Хороший курс, но есть над чем поработать :)

Спасибо авторам и удачи слушателям!

por ELA S C

4 de jul. de 2020

This course was very Challenging and got many insights to learn.