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Voltar para Introduction to Deep Learning

Comentários e feedback de alunos de Introduction to Deep Learning da instituição Universidade HSE

4.6
estrelas
1,712 classificações
•
399 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
19 de Set 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 Mai 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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201 — 225 de 397 Avaliações para o Introduction to Deep Learning

por Pranav R

•
21 de Nov de 2017

Liked it. It is brief and good

por Pavel A

•
17 de Out de 2020

Zimovnov is best ML lecturer.

por Timothy G

•
27 de Ago de 2019

Very good course and training

por Neeraj k

•
28 de Jun de 2019

best method for understanding

por Yechiel A

•
9 de Jan de 2018

vary professional and advance

por Christhian F

•
29 de Out de 2019

Very good and challenging!!

por Zein S

•
23 de Mar de 2018

Great course

Спасибо большое

por Pankaj K s

•
28 de Jul de 2020

very helpful and effective

por Chen Z

•
31 de Jan de 2020

Good course learned a lot!

por Sylvain D

•
11 de Set de 2019

Very nice and instructive.

por Muberangabo S

•
20 de Mai 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 AGWU E S

•
27 de Abr de 2019

Learned and liked a lot

por Jay G

•
15 de Set de 2018

very difficult at times

por Dr S M

•
1 de Mai de 2020

Good course to learn.

por Abdul R

•
8 de Out 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 Nahibau R

•
13 de Fev de 2018

Очень полезный курс.

por 刘岩

•
22 de Out 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 Set de 2018

Awesome. Worth it!

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