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Opiniones y comentarios de aprendices correspondientes a Introduction to Deep Learning por parte de HSE University

4.5
estrellas
1,832 calificaciones
428 reseña

Acerca del Curso

The goal of this online 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....

Principales reseñas

DK
19 de sep. de 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
28 de may. de 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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226 - 250 de 426 revisiones para Introduction to Deep Learning

por Yechiel A

9 de ene. de 2018

vary professional and advance

por Christhian F

29 de oct. de 2019

Very good and challenging!!

por Zein S

23 de mar. de 2018

Great course

Спасибо большое

por pankaj s

28 de jul. de 2020

very helpful and effective

por Chen Z

31 de ene. de 2020

Good course learned a lot!

por Sylvain D

11 de sep. de 2019

Very nice and instructive.

por Muberangabo S

20 de may. de 2020

Hard by totally worth it!

por Ivan S

11 de nov. de 2018

Great introduction course

por Ваганов Н

1 de ago. de 2019

Interesting and NOT easy

por Elbby S A

27 de abr. de 2019

Learned and liked a lot

por Jay G

15 de sep. de 2018

very difficult at times

por Dr S M

1 de may. de 2020

Good course to learn.

por Abdul R

8 de oct. de 2019

Well prepared course!

por Chenglei S

5 de jul. de 2018

Assignments are good.

por Noor A K

26 de jun. de 2020

i took it by mistake

por Ezequiel A G

19 de ago. de 2018

I liked this course!

por Roman N

13 de feb. de 2018

Очень полезный курс.

por 刘岩

22 de oct. de 2018

Very helpful course

por Alexander G

16 de abr. de 2020

I've learned a lot

por Pavel Y

7 de ago. de 2019

it was pretty good

por sagar s

29 de sep. de 2018

Awesome. Worth it!

por Eli B

7 de abr. de 2020

Excellent course!

por 徐雨臻

19 de ago. de 2019

excellent courses

por abdul s

6 de nov. de 2018

Very Good Course

por Amulya R B

5 de nov. de 2017

Awesome course!