Introduction to Deep Learning(으)로 돌아가기

# 국립 연구 고등 경제 대학의 Introduction to Deep Learning 학습자 리뷰 및 피드백

4.6
별점
1,538개의 평가
357개의 리뷰

## 강좌 소개

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...

## 최상위 리뷰

##### 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.

필터링 기준:

## Introduction to Deep Learning의 357개 리뷰 중 326~350

교육 기관: Shubhra S

May 28, 2019

The introductory course is good. But I think you should include more reading material for RNN

교육 기관: Kamil M

Apr 25, 2018

Neural network introduction is conducted very chaotic. Not all topics are explained well.

교육 기관: Siwei Y

Dec 27, 2017

교육 기관: Mathieu D

Apr 15, 2018

not enough content in the video to pass the exam.

교육 기관: Kushagra P

Apr 12, 2018

The RNN week was very bad.

교육 기관: 唐志强

Jul 30, 2018

교육 기관: Shahzaib M

Aug 19, 2019

theory was good but at the time of Assignment i really felt blank as i have studied nothing, which i mean there is no technical support given in lectures, may be this is my fault that i cannot cop-up to the complexity. but still there is a room for improvement may be 5 to 10 min video to help student understand what they are supposed to do.

starting with coder decoder i literally gave up on assignment. so i had to search web and i felt lack of external matters too from where i could get help i am hoping that this response will the up coming student.

i focused on the things need to be improved but it does not mean that the course was not good over all. starting week was quite good i rate those week 5/5 stars. but later on the journey i had problem in understanding the pronunciation but than i realized its not that it is the material i am not clear of.

Thanks.

교육 기관: David P

Dec 08, 2019

This is an extremely poorly prepared course in which the lecturers just throw material at you without bothering to make it even slightly comprehensible. One has to struggle really hard to understand what they are talking about -- they often use concepts and terms that have never been defined before, the slides are sloppy and often formulas make no sense. That said, I'll probably continue struggling with the lectures, since this is (unfortunately) the only advanced resource for deep learning at the moment. I really hope the lecturers will listen to the multitude of negative reviews and make an effort to improve their presentation.

교육 기관: HAZEM D

Jul 04, 2019

good course with great lectures , but the assignments are very painful to complete , they are not hard but the training of the model takes to much time and the coursera notebook always crushes , it took me 1 week to finish an assignment after several trials of training the modal , i ended up by using google Colab with accelerated GPU in order to finish the assignments, also the instructions in the assignments are often not very clear. i suggest to reformulate the assignments and delete or modify the part where you have to train the model and wait several hours to submit the notebook .

교육 기관: Stefano C

Jan 06, 2018

The course has a high potential, with large content and expert instructors. However, you soon realise that the content is indeed too large, and it's never covered with enough details and examples. The most disappointing part, however, is the assignments: the topics covered are too advanced and, as a matter of fact, the learner is only given the chance to implement a tiny part of it.

교육 기관: Sergio A G P

Jul 08, 2020

I found this course not to be a good introduction to deep learning. It never explained well how to use Tensorflow for even easy things. There was a lot of topics covered, which made the course very shallow. As an introduction, it would have been great to know how to de easy things well, instead of checking lots of topics and not knowing how to fully implement them.

교육 기관: ABHAS B

Apr 28, 2020

The content is good, but seems they forgot to upgrade the code material to TF2. It's a pain to work when you are working to learn TF2 outside of this code, come back to have to use TF1. Such a waste of time.

교육 기관: Caio A A O

Nov 27, 2017

It started great, but became a bit too shallow. There's also little to no support from instructors, even when there are bugs.

교육 기관: Tanvi

Jul 14, 2020

Language problem ,no clear instructions were given for the assignments(Notebook) and no proper reply of Discussion form.

교육 기관: raghuveer n

Dec 27, 2017

The accent is very hard to understand and the quality of the recording is not good

교육 기관: Marina Z

Jul 07, 2020

Worst ever course on Coursera. The lectures are actually well-prepared. The programming homework assignments, however, do not meet the technical requirements of Coursera in terms of dataset volume and the time needed to run the training of the models. It's pain in the bottom to train a model as asked in the course. To transfer the notebooks to Colab to train the models on Google servers is connected to many, many, many hours of additional work to rewrite the scripts. I will not finish this course and I would not suggest to begin with, unless you have nothing to do in this world except to lose your time on the improvement of the assignments.

교육 기관: Fereydoon V

Nov 11, 2017

This low-quality course sucks miserably! I still can't believe that this course has really been approved by Coursera, or perhaps Russians have compromised Coursera too?! Not only the extremely heavy accent of so-called "lecturers" makes it impossible to follow what the hell they're talking about, but also the course construction and the explanations' track lack the bare minimum of pedagogical/instructional design. These folks could have taught this course in Russian, at least it would have been usable for Russian folks!

교육 기관: Akshay N

Dec 23, 2017

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).

교육 기관: Scott B

Jun 12, 2019

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.

교육 기관: Dulat A

Dec 17, 2017

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.

교육 기관: Kartoffel

Jan 18, 2018

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..

교육 기관: Aswin R

Mar 13, 2019

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

교육 기관: Nathan N

Mar 17, 2020

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

교육 기관: Robert P M

Jul 18, 2020

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

교육 기관: Mohit K

Sep 07, 2018

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