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学生对 国立高等经济大学 提供的 Introduction to Deep Learning 的评价和反馈

1,659 个评分
384 条评论


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:


Sep 19, 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

May 28, 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


176 - Introduction to Deep Learning 的 200 个评论(共 383 个)


Oct 26, 2020

I like this lecture. thank you so much.

创建者 ashirwad s

Mar 16, 2019

Best Course available on Deep Learning.

创建者 Ankit A

Mar 11, 2019

Very Effective Learning. Thankyou Guys.

创建者 Tejas S S

Nov 11, 2018

Difficult course, but worth the effort.

创建者 Bukharaev A N

Sep 30, 2018

Thank you for such a tremendous course!

创建者 Rodolfo Q

Sep 3, 2018

It has a nice review of advanced topics


Jul 4, 2019

Good explanation and project proposals

创建者 Félix A

Sep 17, 2020

A great way to get into the ML world.

创建者 Maxim B

Jul 17, 2018

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


Jul 3, 2020

Excellent course and very good tutor

创建者 Yunzhe F

Sep 8, 2018

Most of the assignments are unclear.

创建者 Arnav G

Dec 14, 2019

highly satisfied...will do it again

创建者 Марчевский В Д

May 18, 2018

Pretty good intro to Deep Learning!

创建者 ANUJ L

Jun 15, 2020

Was very nice and concise course.

创建者 Walter H L P

Dec 2, 2017

It is very difficult but worth it.

创建者 sagar s

Sep 25, 2018

Awesome!. Worth the bucks spend!.

创建者 Andreas B

Jan 10, 2019

great course - I learned a lot!

创建者 Phumlani M

Jul 6, 2020

Enjoyable course. A must take.

创建者 Hera K

Jul 30, 2019

It was an amazing experience..

创建者 Dominik K

Nov 15, 2018

Great course. I learned a lot.

创建者 Pranav R

Nov 21, 2017

Liked it. It is brief and good

创建者 Pavel A

Oct 17, 2020

Zimovnov is best ML lecturer.

创建者 Timothy G

Aug 27, 2019

Very good course and training

创建者 Neeraj k

Jun 28, 2019

best method for understanding

创建者 Yechiel A

Jan 9, 2018

vary professional and advance