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Introduction to Deep Learning(으)로 돌아가기

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

4.6
별점
1,551개의 평가
359개의 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 359개 리뷰 중 276~300

교육 기관: 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.

교육 기관: Amuj K

May 11, 2020

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

교육 기관: 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.

교육 기관: 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

교육 기관: Федоров И Д

May 06, 2020

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

교육 기관: Nikhil B

Jul 27, 2020

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

교육 기관: 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.

교육 기관: 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

교육 기관: Deleted A

Jan 15, 2018

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

교육 기관: 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.

교육 기관: 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.

교육 기관: 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.

교육 기관: Tuan L H

Jun 01, 2020

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

교육 기관: imran k

Feb 05, 2020

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

교육 기관: Giovani M

Apr 18, 2020

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

교육 기관: Parikshith S

Jun 02, 2020

Amazing content.But notebooks need to be updated.

Actually requires good python knowledge

교육 기관: Abhishek S

Jan 10, 2018

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

교육 기관: Mark P

Oct 09, 2018

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

교육 기관: Vladimir S

Jan 04, 2018

Хороший курс, но есть над чем поработать :)

Спасибо авторам и удачи слушателям!

교육 기관: ELA S C

Jul 04, 2020

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

교육 기관: Massimo T

May 17, 2020

Good teaching, the exercise preparation could be more accurate.

교육 기관: Mauro D S

Jul 28, 2018

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

교육 기관: Saraansh T

Jul 12, 2020

A job well done. Quite responsive community and support.

교육 기관: Seongeun S

Jul 28, 2018

Great course to get a first view of deep learning !

교육 기관: SABYASACHI B

May 25, 2019

some lectures can be given at a slower pace