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Вернуться к Нейронные сети и глубокое обучение

Отзывы учащихся о курсе Нейронные сети и глубокое обучение от партнера

Оценки: 64,686
Рецензии: 12,233

О курсе

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning. When you finish this class, you will: - Understand the major technology trends driving Deep Learning - Be able to build, train and apply fully connected deep neural networks - Know how to implement efficient (vectorized) neural networks - Understand the key parameters in a neural network's architecture This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions. This is the first course of the Deep Learning Specialization....

Лучшие рецензии


Mar 07, 2019

I understand all those thing which you have discussed in this course and I also like the way first tell story of concet and assign assignment. Now I fall in love with neural network and deep learning.


Apr 07, 2019

A bit easy (python wise) but maybe that's just a reflection of personal experience / practice. The contest is easy to digest (week to week) and the intuitions are well thought of in their explanation.

Фильтр по:

76–100 из 12,009 отзывов о курсе Нейронные сети и глубокое обучение

автор: Long H N

Dec 10, 2017


автор: Maxence A

Oct 29, 2017

The programmation exercice are nice, but the courses are mainly about very basic linear algebra.

автор: Medivh

Oct 22, 2017


автор: David W

Oct 16, 2017

Great Presenter in Andrew Ng, on a topic of tremendous interest to very many.

However, unfortunately the grader seems to work only rarely in accepting submissions. Code that runs perfectly in the Notebook is repeatedly rejected by the Grader. Dozens of comments on these problems when the course opened two months ago. But still the problems have not been fixed!

And if you want to reset your Notebook for a fresh start , that may take hours or even days .

A pdf addressing exactly what one needs to do would be sensible. Instead one spends dozens of hours trawling round Forum discussions to guess what might actually work for the Grader. A most disappointing experience. Why is this considered in any way acceptable?

автор: Ali A

Aug 28, 2017

Terrible integration with Jupyter Python framework, end up losing 3 hours of work! Nobody responds from the courser team !

автор: Domagoj K

Aug 18, 2017

I am very disappointed with this new course concept where you have to pay 43$ a month to be able to solve a quiz. Coursera used to be famous for its free courses and now it just removes free features over the time. It has become another site with expensive courses. I watched first week lectures and this is probably my last time to enroll in Coursera course.

автор: Andrew H

Apr 28, 2019

Not enough explanation or support to complete the very vaguely worded assignments in anything like the specified timescales.

I respect the source of this course but as a teaching resource it is really very poor.

автор: Bruno J

Sep 04, 2019

Not my favorite course. Content and exercises were VERY repetitive and boring.

автор: Pavithra R

Jan 28, 2019


автор: Jaswanth M

Jan 28, 2019

really good explanation . i love it

автор: Pyojin K

Jan 29, 2019

Good lectures! :)

автор: Weifan C

Jan 28, 2019

Compared with other online AI course I took, this course has proper depth of math and insights. I enjoyed it a lot

автор: Graham M

Jan 28, 2019

Very practical and well-structured. Key points are reinforced through examples and exercises.

автор: Ritaprava D

Jan 29, 2019

Excellent course if you are interested to understand how things work at very low level. Clear explanation of the algorithm rather than just programming with some high level framework, makes it interesting.

автор: Renato V

Jan 29, 2019

A course for those that already know how a basic understand on how to build Neural Networks using high level API like Keras and want to know about the basic build blocks (and math) needed to really understand the way a neural network works. High recommended. Andrew Ng is an incredible professor, make the contents easy understandable. The lessons and questions are very good to check the whole content learned in the video lessons.

автор: Alexander K

Jan 27, 2019


автор: HUI Y

Jan 28, 2019

so nice, explain is very helpful

автор: Dien-Lin T

Jan 28, 2019

Very Nice!! Learned a lot!!

автор: Shahrukh H

Jan 28, 2019

Amazing Course

автор: Adrian N K

Jan 29, 2019

Great course for teaching the basics of Neural Networks and Deep Neural Networks! I feel that my understanding on how to build ANNs has vastly improved. Thanks!

автор: Shirish P

Jan 28, 2019


автор: SONIA D

Jan 29, 2019

Very Useful

автор: Bạch T T

Jan 29, 2019

It's great because I can build an artificial neural network to classify photos. I will have to practice more to get more experience with it. Thanks coursera

автор: Martin K

Jan 15, 2019

This course offered well deliberated inputs for first time learner on Deep learning. Great overview and even more impressive way of presenting complex theoretical concepts in a compelling and easy to understand manner.

Totally recommend this course!

автор: Christian B

Jan 16, 2019

Great introduction to deep learning, Andrew Ng is a very good communicator and all the slides and programming assignments very well put together.