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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
1,657 classificações
383 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

TP
8 de Ago de 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.

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176 — 200 de 383 Avaliações para o Introduction to Deep Learning

por sanghoon.lee1@kbfg.com

27 de Out de 2020

I like this lecture. thank you so much.

por ashirwad s

16 de Mar de 2019

Best Course available on Deep Learning.

por Ankit A

11 de Mar de 2019

Very Effective Learning. Thankyou Guys.

por Tejas S S

11 de Nov de 2018

Difficult course, but worth the effort.

por Bukharaev A N

30 de Set de 2018

Thank you for such a tremendous course!

por Rodolfo Q

3 de Set de 2018

It has a nice review of advanced topics

por RICHARD H D

4 de Jul de 2019

Good explanation and project proposals

por Félix A

17 de Set de 2020

A great way to get into the ML world.

por Maxim B

17 de Jul de 2018

I think it's a good start. Thank you.

por RAMATULASI

3 de Jul de 2020

Excellent course and very good tutor

por Yunzhe F

8 de Set de 2018

Most of the assignments are unclear.

por Arnav G

14 de Dez de 2019

highly satisfied...will do it again

por Марчевский В Д

18 de Mai de 2018

Pretty good intro to Deep Learning!

por ANUJ L

15 de Jun de 2020

Was very nice and concise course.

por Walter H L P

2 de Dez de 2017

It is very difficult but worth it.

por sagar s

25 de Set de 2018

Awesome!. Worth the bucks spend!.

por Andreas B

10 de Jan de 2019

great course - I learned a lot!

por Phumlani M

6 de Jul de 2020

Enjoyable course. A must take.

por Hera K

30 de Jul de 2019

It was an amazing experience..

por Dominik K

15 de Nov de 2018

Great course. I learned a lot.

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