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

4.5
estrellas
1,844 calificaciones
431 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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151 - 175 de 429 revisiones para Introduction to Deep Learning

por Alex S

28 de oct. de 2018

Thank for the teachers, I have a deeply impression to the style of teachers.

por Prateek G

20 de mar. de 2019

This course is very demanding. So, please listen to the lectures carefully.

por Muhammad S

29 de jun. de 2019

Thanks for providing such a great course. Very productive and informative.

por Stephane H

21 de sep. de 2018

Great course, properly hard, learned a lot, not for the faint of heart !

por Nathaniel C

15 de mar. de 2021

Challenging, but worth it! Excellent resources, and great instructors.

por Alexander S

2 de ene. de 2022

G​reat Course! I did learn a lot about deep learning. Thanks a lot! :)

por Maksim A

19 de sep. de 2018

not very deep, but well-performed introduction to deep neural networks

por Ali A

25 de abr. de 2020

Very good! a big thank you to all lecturers that built this course :)

por Paul É D

20 de nov. de 2018

Such a nice course, which is far more that an "introduction". Thanks

por C.L. G

6 de ene. de 2022

I really enjoyed the course and I am ready to take the next course.

por Semyon F

4 de ago. de 2020

Quite challenging and has good balance between theory and homeworks

por Nimish S

5 de dic. de 2017

A fast paced but very indepth look. Programming exercises are great

por Swapnil K B

11 de abr. de 2019

One of the best courses on deep learning . Kudos to the creators.

por Bruno F

17 de mar. de 2019

Tough course. You are happy and proud when you get it to the end.

por ABHISHEK M

6 de jul. de 2020

One of the best courses on Coursera for practical deep learning!

por Akash C

4 de oct. de 2018

Nice course to learn some advance level Machine Learning stuffs.

por Pronay K P

23 de ene. de 2021

It was an amazing journey. I enjoyed this course and the tasks.

por Andrei R

3 de dic. de 2020

Great course by HSE: great balance between theory and practice.

por Sajal C

17 de jun. de 2020

Very good and informative. Should have basic concept knowledge.

por Thomas F

5 de oct. de 2019

Great course! How to use deep neuro nets for image recognition!

por Evgeny K

24 de feb. de 2018

Course is compact and at the same time very focused. Recommend.

por Hemanth K

19 de mar. de 2019

Good Course. Very informative and the assignments teach a lot.

por Yunfei D

5 de ago. de 2018

I learnt some good ideas which can not get from other courses.

por Wei X

16 de ago. de 2018

nice course. Program assignment is hard but very beneficial.

por Zoltan S

8 de abr. de 2018

It is fast paced. One of the best courses I have ever taken.