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

4.5
звезд
Оценки: 1,818
Рецензии: 426

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.

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76–100 из 424 отзывов о курсе Introduction to Deep Learning

автор: Abel F Z C

10 июля 2020 г.

Some of the programming assignments could not be done only with the information given in the videos, I suggest giving the students better and complete tools so they can make the programming activities without losing so much time. But in general, a very good course.

автор: Alfredo G Z

28 дек. 2019 г.

I definitely learnt a lot, this is called Intro to Deep Learning yet it is much more than an Intro.

Assignments are hard but challenge you to think a lot.

The only thing I would improve is if the staff did more maintaining and responded more quickly to the forums.

автор: Pavan K U

27 авг. 2019 г.

Overall course content is good and engaging. But I feel a little bit gap while doing assignments. I feel instructions are clear but for better understanding, it would have been better if a sample input and output is present after every function we implement.

автор: Vladimir S

13 дек. 2017 г.

Курс немного сыроват. Особенно касается задания для отличников на одной из недель, которое нельзя сабмитить. А так молодцы - курс хороший хоть и с недочетами. СПС авторам.

З.Ы. Некоторым лекторам всё-таки я бы посоветовал поработать над произношением...

автор: Anupam K

12 апр. 2020 г.

Great, great content! The tutors were amazing. The topics covered and the level of details, the coding assist scripts, the tests were all very impressive. Loved the course and would recommend it highly to anyone interested in starting off with ML.

автор: Tamas

25 июня 2020 г.

Fantastic course, I really enjoyed it. Well structured, one of the best.

Although, I already have MPP AI and Data Science certificate, this course and hopefully the whole specialization will be in my Top3 list of Deep Learning. Keep going guys!

автор: Chiau H L

8 окт. 2018 г.

The assignments of this course are very challenging but rewarding. It's not very 'INTRO' as stated in the course title as the pacing is super fast (one type of NN per week!). Overall a highly recommended course to anybody who's interested !

автор: Diego T B

28 сент. 2019 г.

I think this is a nice course! however I felt like I cannot do many of the things I did in the course from scratch. Nice topics, well taught. The only bad point is that subtitles in English are terrible, they need to be more accurate.

автор: Ануфриев С С

12 сент. 2018 г.

Good, however in programming assignments could be beneficial to add mathematical equations for computations or maybe add variables input. By doing so, much less confusion with shapes and computational workflow could be achieved.

автор: Bence B

26 сент. 2021 г.

Excellent course on Deep Learning. I especially liked the programming language (Python) for assignments, with those libraries (Tensorflow, Keras) instead of MatLab or Octave. For me it's more convenient to learn via these.

автор: AMAN J

13 мая 2020 г.

nice course. Give me the basic understanding of deep learning ,working with keras and tensorflow ,and introduce with convolutional layers and recurrent. I am very happy to complete the course. thanks to all instructor.

автор: Gökhan T

8 окт. 2018 г.

it's really hard to compare other introduction courses, it's tough course. You need to hard word to complete. It enjoyable course, there are alot to learn and it will teach you some key features of deep learning.

автор: Голубев К О

15 авг. 2018 г.

Great course with nice lecturers and intersting practice. Of course I'd like to grasp more theoretical and practical questions from this course (GANs, Prizma, e. t. c.), but everything should have it's own end

автор: Orson T M

13 сент. 2020 г.

a great course that puts you in real situations of a machine learning project in industry and by doing this course you will gain a great experience of machine learning for my part I highly recommend it to you

автор: nishan p

24 февр. 2018 г.

A good course for introducing the various concepts of Deep Learning. It neither goes too deep into the models nor taught in a blackbox way. I think it's just a mixed of both ways. The teachers were good. :)

автор: Ahmed T

7 мар. 2020 г.

For an intro class, it's very good. I appreciate the perspective on deep learning as a language, rather than some magical silver bullet, but it would be nice if that was elaborated through assignments.

автор: Andres M

29 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

автор: superfantastic

19 июля 2018 г.

Fantastic course.In fact, I think it,s not a easy thing to accomplish all the assignments with this course.

I got a lot of gains through this course. Thanks for all the instructors.

автор: Yiwei G

28 янв. 2018 г.

This is a very hands on Deep Learning class. Like the design of programming assignments a lot. It's very instructive as well as challenging! Great course. I would recommend it!

автор: Akash S

25 мар. 2018 г.

Great course! The faculty does an excellent job in explaining some difficult to understand concepts. The discussion forum is very active and the course community is helpful.

автор: Frank F

31 июля 2018 г.

Finally a Course that does more than introducing the topic, but helps you in your every practice of deep learning modelling. Awesome! Looking forward to much more to come!

автор: Timo

30 мая 2019 г.

Definitely great course!

(Was more interested in the math than the acutal "doing" of the programming, so I sometimes found the exercises a little enerving... :) )

автор: Jens R

2 сент. 2019 г.

I learned a lot. I had a tiny typo in the last exercise, which took most of my time. But searching for this mistake was probably the time I learnt the most ;).

автор: Hamel H

29 дек. 2017 г.

This is amazing content. The instructors have a really good sense of humor which you can detect if you are paying attention, this makes the course really fun.

автор: Simon G

20 мар. 2019 г.

I really liked, that you are able to clone the repositories directly do work locally on the notebooks and therefore providing a much more stable environment!