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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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201 - 225 de 426 revisiones para Introduction to Deep Learning

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 sep. de 2018

Thank you for such a tremendous course!

por Rodolfo Q

3 de sep. 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 Render

17 de sep. 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 sep. de 2018

Most of the assignments are unclear.

por Arnav G

14 de dic. de 2019

highly satisfied...will do it again

por Марчевский В Д

18 de may. 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 dic. de 2017

It is very difficult but worth it.

por JEROME R

22 de mar. de 2021

Very complete for an intoduction.

por sagar s

25 de sep. de 2018

Awesome!. Worth the bucks spend!.

por THODUPUNOORI V 1

3 de may. de 2021

Good course and time to practice

por Andreas B

10 de ene. 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 oct. 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