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

4.5
звезд
Оценки: 1,806
Рецензии: 421

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:

401–421 из 421 отзывов о курсе Introduction to Deep Learning

автор: Akshay N

22 дек. 2017 г.

Not a good course.

The lectures are rushed through. At one point towards the end of week one, the lecturer just reads out the mathematical formulae on gradient descent extensions, without giving any background on their interpretation, or any examples.The number of notations used are too many to keep track of.

There are no instructions available on how to tackle assignments in Python (nor any mention of Python language as a pre-requisite).

автор: Scott B

12 июня 2019 г.

This course is very poorly designed. The lectures are insufferable, and absolutely zero supplemental content is provided that would make it actually possible to engage in the material in any meaningful way beyond suffering through the prattle and drone of recitation of mathematical concepts. Very disappointing.

автор: Eduardo P

19 авг. 2021 г.

S​till using tensorflow 1.2. I was unable to run week3 excercises in local, directly or through docker. Colab has not working. After wasting an increadible amount of time will quit the whole specialization. Very disapointing that code is not maintained / updated.

автор: Dulat A

17 дек. 2017 г.

Quality of lectures were totally disapointing. I watched previous courses from Yandex, which were taught on Russian, and they were much better. At some points, lectures even cannot explain what they want to say. I feel like Yandex have stolen 50$ from me.

автор: Peter

18 янв. 2018 г.

Not all teachers speak english well enough. You need to be skilled python, tensorflow, karas developer. They dont explain the algorithms very well and you dont have a text book to look it up yourself..

автор: Aswin R

13 мар. 2019 г.

Very peripheral teaching. Unable to understand anything from the touch points being covered. Assignments are not at all matching with the course contents.

автор: Nathan N

16 мар. 2020 г.

Quizzes are not translated to English well, and instructors are not active on the discussion forums.

автор: Robert M

18 июля 2020 г.

The tensorflow sections are no longer relevant and nobody answers questions about the material.

автор: Mohit K

7 сент. 2018 г.

This course goes over my head. I found this course 'callous'. Doesn't care about my learning!

автор: Nick

22 февр. 2018 г.

Awful. Questions unclear, lecturers struggle with basic english, and typos are everywhere

автор: Roberto M P

27 янв. 2018 г.

The lecturer is really bad, he is not clear and his explanations are shallow and vague.

автор: Aman T

3 янв. 2021 г.

Course was made unnecessarily complex , it could be explained in a simpler manner.

автор: Xiaowei X

11 авг. 2019 г.

The instructions are often unclear and the ipynb files often does not even run.

автор: krishnaraju

20 апр. 2021 г.

assignments can't be submitted and no instructions were given how to submit it

автор: 史永新

17 июня 2020 г.

the test is too difficult to make me give up

автор: Herbert D

4 мар. 2018 г.

This has to be the worst course on Coursera.

автор: Jiahua F

13 окт. 2020 г.

The code in github doesn't work

автор: NIMA S

6 сент. 2020 г.

The English is terrible!

автор: Philip P

3 нояб. 2019 г.

Out dated

автор: MANEESH K 2 C A

1 дек. 2020 г.

Bad

автор: ADEL S A A

11 июня 2020 г.

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