Voltar para Introduction to Deep Learning

4.6

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1,271 classificações

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283 avaliações

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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por zhaoyulai

•Jul 19, 2018

课程不错, 但英语听不懂, Inception Fine-tune难度比较大, 运行耗时间且电脑发热

por Vaibhav O

•Mar 17, 2019

Excellent hands on exercises to learn the basics

por Xin Q

•Oct 08, 2019

A really nice course as an introduction to DL.

por Tom M

•May 11, 2018

Fun course that teaches some very cool topics.

por Faris G

•Jun 08, 2018

Really inspired me to continue deep learning.

por RLee

•Mar 26, 2019

A very comprehensive "introduction" course!

por Firas B

•Nov 26, 2018

One of the best courses of deep learning !!

por Arturo O A

•Aug 22, 2018

Really great course, I highly recommend it!

por Biswa s

•Jan 07, 2018

Good Introduction. The assignments are good

por Jayesh G

•Jul 24, 2019

Nice course....refreshed a lot of concepts

por Daniel M

•Apr 30, 2018

Challenging, educational, and tons of fun.

por Ashirwad

•Mar 16, 2019

Best Course available on Deep Learning.

por Ankit A

•Mar 11, 2019

Very Effective Learning. Thankyou Guys.

por Tejas S S

•Nov 11, 2018

Difficult course, but worth the effort.

por Bukharaev A N

•Sep 30, 2018

Thank you for such a tremendous course!

por Edgar R Q C

•Sep 03, 2018

It has a nice review of advanced topics

por Richard H D

•Jul 04, 2019

Good explanation and project proposals

por Maxim B

•Jul 17, 2018

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

por Yunzhe F

•Sep 08, 2018

Most of the assignments are unclear.

por Arnav G

•Dec 14, 2019

highly satisfied...will do it again

por Марчевский В Д

•May 18, 2018

Pretty good intro to Deep Learning!

por Walter H L P

•Dec 02, 2017

It is very difficult but worth it.

por SagarSrinivas

•Sep 25, 2018

Awesome!. Worth the bucks spend!.

por Andreas B

•Jan 10, 2019

great course - I learned a lot!

por Hera K

•Jul 30, 2019

It was an amazing experience..