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Comentários e feedback de alunos de Introduction to Deep Learning da instituição National Research University Higher School of Economics

4.6
estrelas
1,503 classificações
350 avaliações

Sobre o curso

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...

Melhores avaliações

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

AM

May 29, 2020

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

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176 — 200 de 350 Avaliações para o Introduction to Deep Learning

por SagarSrinivas

Sep 25, 2018

Awesome!. Worth the bucks spend!.

por Andreas B

Jan 10, 2019

great course - I learned a lot!

por Phumlani M

Jul 06, 2020

Enjoyable course. A must take.

por Hera K

Jul 30, 2019

It was an amazing experience..

por Dominik K

Nov 15, 2018

Great course. I learned a lot.

por Pranav R

Nov 21, 2017

Liked it. It is brief and good

por Timothy G

Aug 27, 2019

Very good course and training

por Neeraj k

Jun 28, 2019

best method for understanding

por Yechiel A

Jan 09, 2018

vary professional and advance

por Christhian F

Oct 29, 2019

Very good and challenging!!

por Zein S

Mar 24, 2018

Great course

Спасибо большое

por Chen Z

Jan 31, 2020

Good course learned a lot!

por Sylvain D

Sep 11, 2019

Very nice and instructive.

por Muberangabo s

May 20, 2020

Hard by totally worth it!

por Ivan S

Nov 11, 2018

Great introduction course

por Ваганов Н

Aug 01, 2019

Interesting and NOT easy

por AGWU E S

Apr 27, 2019

Learned and liked a lot

por Jay G

Sep 15, 2018

very difficult at times

por Dr S M

May 02, 2020

Good course to learn.

por Abdul R

Oct 08, 2019

Well prepared course!

por Chenglei S

Jul 05, 2018

Assignments are good.

por Noor A K

Jun 26, 2020

i took it by mistake

por Ezequiel A

Aug 20, 2018

I liked this course!

por Nahibau R

Feb 13, 2018

Очень полезный курс.

por 刘岩

Oct 22, 2018

Very helpful course