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Вернуться к Introduction to Deep Learning

Отзывы учащихся о курсе Introduction to Deep Learning от партнера Национальный исследовательский университет "Высшая школа экономики"

4.6
звезд
Оценки: 1,662
Рецензии: 385

О курсе

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...

Лучшие рецензии

DK
19 сент. 2019 г.

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 авг. 2020 г.

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.

Фильтр по:

176–200 из 384 отзывов о курсе Introduction to Deep Learning

автор: sanghoon.lee1@kbfg.com

26 окт. 2020 г.

I like this lecture. thank you so much.

автор: ashirwad s

16 мар. 2019 г.

Best Course available on Deep Learning.

автор: Ankit A

11 мар. 2019 г.

Very Effective Learning. Thankyou Guys.

автор: Tejas S S

11 нояб. 2018 г.

Difficult course, but worth the effort.

автор: Bukharaev A N

30 сент. 2018 г.

Thank you for such a tremendous course!

автор: Rodolfo Q

3 сент. 2018 г.

It has a nice review of advanced topics

автор: RICHARD H D

4 июля 2019 г.

Good explanation and project proposals

автор: Félix A

17 сент. 2020 г.

A great way to get into the ML world.

автор: Maxim B

17 июля 2018 г.

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

автор: RAMATULASI

3 июля 2020 г.

Excellent course and very good tutor

автор: Yunzhe F

8 сент. 2018 г.

Most of the assignments are unclear.

автор: Arnav G

14 дек. 2019 г.

highly satisfied...will do it again

автор: Марчевский В Д

18 мая 2018 г.

Pretty good intro to Deep Learning!

автор: ANUJ L

15 июня 2020 г.

Was very nice and concise course.

автор: Walter H L P

2 дек. 2017 г.

It is very difficult but worth it.

автор: sagar s

25 сент. 2018 г.

Awesome!. Worth the bucks spend!.

автор: Andreas B

10 янв. 2019 г.

great course - I learned a lot!

автор: Phumlani M

6 июля 2020 г.

Enjoyable course. A must take.

автор: Hera K

30 июля 2019 г.

It was an amazing experience..

автор: Dominik K

15 нояб. 2018 г.

Great course. I learned a lot.

автор: Pranav R

21 нояб. 2017 г.

Liked it. It is brief and good

автор: Pavel A

17 окт. 2020 г.

Zimovnov is best ML lecturer.

автор: Timothy G

27 авг. 2019 г.

Very good course and training

автор: Neeraj k

28 июня 2019 г.

best method for understanding

автор: Yechiel A

9 янв. 2018 г.

vary professional and advance