Chevron Left
Вернуться к Introduction to Deep Learning

Отзывы учащихся о курсе Introduction to Deep Learning от партнера Национальный исследовательский университет "Высшая школа экономики"

4.6
звезд
Оценки: 1,635
Рецензии: 377

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

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

TP

Aug 09, 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.

Фильтр по:

151–175 из 376 отзывов о курсе Introduction to Deep Learning

автор: Ravindran M

Dec 04, 2018

Good course. More detailed lectures may have been helpful.

автор: Subham T

Feb 21, 2018

Nice course with all the concepts explained in a lucid way

автор: Udith D B H

Mar 12, 2020

Excellent course which expects much practical knowledge.

автор: MEET S

Apr 19, 2020

Really useful to learn the basics of Deep Learning.

автор: Debasis S

Jul 03, 2019

I surely have learned a lot from the course, thanks

автор: Mohammed S E

Apr 19, 2019

very detailed , clear and to the point , i loved it

автор: Samuel R

Aug 12, 2019

Great lectures and homeworks.They were challenging

автор: zhaoyulai

Jul 19, 2018

课程不错, 但英语听不懂, Inception Fine-tune难度比较大, 运行耗时间且电脑发热

автор: Vaibhav O

Mar 17, 2019

Excellent hands on exercises to learn the basics

автор: Xin Q

Oct 08, 2019

A really nice course as an introduction to DL.

автор: Tom M

May 11, 2018

Fun course that teaches some very cool topics.

автор: Yu C

Jul 11, 2020

Clearly presented with desirable formal rigor

автор: Faris G

Jun 08, 2018

Really inspired me to continue deep learning.

автор: Aditya N J

Sep 27, 2020

Awesome course . A must recommended for all

автор: Bharath R R

May 20, 2020

Great Course with good programing Excercise

автор: RLee

Mar 26, 2019

A very comprehensive "introduction" course!

автор: Firas B

Nov 26, 2018

One of the best courses of deep learning !!

автор: Arturo O A

Aug 22, 2018

Really great course, I highly recommend it!

автор: Biswa s

Jan 07, 2018

Good Introduction. The assignments are good

автор: Jayesh G

Jul 24, 2019

Nice course....refreshed a lot of concepts

автор: Daniel M

Apr 30, 2018

Challenging, educational, and tons of fun.

автор: ashirwad s

Mar 16, 2019

Best Course available on Deep Learning.

автор: Ankit A

Mar 11, 2019

Very Effective Learning. Thankyou Guys.

автор: Tejas S S

Nov 11, 2018

Difficult course, but worth the effort.

автор: Bukharaev A N

Sep 30, 2018

Thank you for such a tremendous course!