Back to Introduction to Deep Learning

4.6

1,121 ratings

•

254 reviews

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...

Sep 20, 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

Jun 02, 2019

one of the best courses I have attended. clear explanation, clear examples, amazing quizzes & Programming Assignment this course is advanced level, don't enroll it if you are a new starter.

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By 胡哲维

•Dec 23, 2018

excellent

By Ankit A

•Mar 11, 2019

Very Effective Learning. Thankyou Guys.

By Maxim B

•Jul 17, 2018

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

By Yunzhe F

•Sep 08, 2018

Most of the assignments are unclear.

By Stephane H

•Sep 21, 2018

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

By SagarSrinivas

•Sep 25, 2018

Awesome!. Worth the bucks spend!.

By Ануфриев С С

•Sep 12, 2018

Good, however in programming assignments could be beneficial to add mathematical equations for computations or maybe add variables input. By doing so, much less confusion with shapes and computational workflow could be achieved.

By Jay G

•Sep 15, 2018

very difficult at times

By sagar s

•Sep 29, 2018

Awesome. Worth it!

By Egor L

•Aug 10, 2018

I liked the course very much and can recommend it. It had its own flaws (for example first several videos are a bit difficult to listen to without subtitles), but the material is worth it. A good kick start for studying and applying deep learning. Thanks to all course creators!

By Eugene I

•Aug 29, 2018

Thank you guys for replacing some lectures. As for me, at present, the course is one of the best courses in this specialization.

By Голубев К О

•Aug 15, 2018

Great course with nice lecturers and intersting practice. Of course I'd like to grasp more theoretical and practical questions from this course (GANs, Prizma, e. t. c.), but everything should have it's own end

By Wei X

•Aug 16, 2018

nice course. Program assignment is hard but very beneficial.

By Ezequiel A

•Aug 20, 2018

I liked this course!

By Edgar R Q C

•Sep 03, 2018

It has a nice review of advanced topics

By Lee C H

•Oct 08, 2018

The assignments of this course are very challenging but rewarding. It's not very 'INTRO' as stated in the course title as the pacing is super fast (one type of NN per week!). Overall a highly recommended course to anybody who's interested !

By Gökhan T

•Oct 08, 2018

it's really hard to compare other introduction courses, it's tough course. You need to hard word to complete. It enjoyable course, there are alot to learn and it will teach you some key features of deep learning.

By 刘岩

•Oct 22, 2018

Very helpful course

By Akash C

•Oct 05, 2018

Nice course to learn some advance level Machine Learning stuffs.

By Alex S

•Oct 29, 2018

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

By abdul s

•Nov 06, 2018

Very Good Course

By Tejas S S

•Nov 11, 2018

Difficult course, but worth the effort.

By Michael B

•Nov 11, 2018

Excellent course which introduces the core concepts of deep learning. However, it is not for the absolute beginner. If you have a good understanding of programming in Python and have done some other introductory deep learning courses, you should be able to complete this course without too much trouble.

By Ivan S

•Nov 11, 2018

Great introduction course

By Dominik K

•Nov 15, 2018

Great course. I learned a lot.