Back to Introduction to Deep Learning

4.6

stars

1,407 ratings

•

321 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

May 29, 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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By Chan H Y

•Apr 16, 2018

This course is an advance course which requires some background in machine learning or deep learning.

By Chih-Sheng C

•Oct 13, 2018

Clearly explained how backprop can be efficiently done in matrix form. Course materials are great!

By Amit K J

•Feb 29, 2020

A must-needed certification for deep learning practitioners. I highly recommend this to everyone.

By Hulot

•Mar 19, 2019

Fine introduction to DL (keras and tensorflow) with a good mathematic explanation of what we do.

By Briag D

•Dec 28, 2017

This course has very interesting projects that can be expanded and it is a challenging course.

By Jason M C

•May 25, 2018

Fantastically challenging and even as a Data Science professional, I learned a few new things!

By Juan M C A

•Dec 04, 2018

Great amazing high level introduction, with additional resources to reinforce if u are stuck.

By Emilio P

•Mar 14, 2019

Very good quality learning and challenging assignments, as expected from an advanced course.

By 基伦

•Jan 17, 2018

Great course. Really helpful hands-on practice problems and coding assignments. Recommended!

By Igor P

•Nov 19, 2018

Strongly recommended for those interested in current state of machine learning algorithms

By Andrey M

•Jan 01, 2020

Very nice course to meet deep learning. Based on "Learn by doing". Very good teachers.

By Yu Q

•Apr 07, 2019

Brief but clear lessons for intermediate level students with not-easy assignments. :)

By Haidar A

•May 01, 2020

would have been even better if the pre-programs in the notebooks were also explained

By Sinan G

•Nov 08, 2019

Wide and deep range of important topics, a high level for an introduction course.

By Amey B

•Jun 06, 2019

Awesome course with great Deep learning challenges to solve. Simply loved it.

By Alex S

•Oct 29, 2018

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

By Prateek G

•Mar 20, 2019

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

By Muhammad S

•Jun 29, 2019

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

By Stephane H

•Sep 21, 2018

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

By Maksim A

•Sep 19, 2018

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

By Ali A

•Apr 25, 2020

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

By Paul É D

•Nov 20, 2018

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

By Nimish S

•Dec 05, 2017

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

By Swapnil K B

•Apr 11, 2019

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

By Bruno F

•Mar 17, 2019

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

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