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Learner Reviews & Feedback for Neural Networks and Deep Learning by DeepLearning.AI

4.9
stars
122,502 ratings

About the Course

In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

NL

Oct 3, 2020

This course helps me to understand the basic concept of Deep Learning. However I think this course should include at least 1 week (or 2-3 videos) about math so learners can have a better understanding

MG

Jul 28, 2020

Pretty well organized with really helpful examples and assignment especially. Definitely made the basis for deep learning algorithms. Looking forward to the next modules and dive deep in this domain.

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5001 - 5025 of 10,000 Reviews for Neural Networks and Deep Learning

By Mohammad Z T

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Jun 24, 2020

That's an amazing course for Neural Networks and Deep Learning. It's almost a perfect course to start but I wish it will be better if Lecture notes are provided.

By puneet k

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Jun 23, 2020

This Course is must for Everyone who wants to learn Deep Learning as it covers the programming as well as Mathematics behind who Deep Learning actually operates.

By Arpitkumar P

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Jun 23, 2020

It is great experience by learning online. I can proudly say that I utilizing this corona period of time by learning some useful thing which help me in my future

By Ashok N

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Jun 19, 2020

Excellent course to strengthen your concepts and "under the hood" working of logistic regressoin and deep neural networks. Thanks to Andrew Ng and Coursera.

By Chaitanya M

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Jun 17, 2020

This course unlike other courses avoids the use of Tensorflow / Pytorch to build a strong base for deep learning. Andrew is just an amazing teacher in every way.

By Maitreya S

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Jun 12, 2020

This is an excellent course for anyone looking to gain a stronghold in deeplearning. Professor Andrew NG make learning this course a fun and engaging experience.

By Enrique C

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May 22, 2020

Realmente fantástico como sempre! O melhor curso que eu já fiz sobre Neural Networks and Deep Learning, espero ansiosamente poder terminar toda a especialização.

By Victor A

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May 10, 2020

Great introduction to Neural Network, Andrew and the team are amazing and provide meaningful explanations as long as practical exercises. Strongly recommend it !

By Kartikay S

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Apr 19, 2020

Great Lectures and being advanced in calculus and linear algebra, it was very easy but for beginners it is a really good course.

one can learn without any prereqs

By Abhishek S

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Apr 9, 2020

Very informative and good course teaching deep and basic concepts with ease. Can implement neural networks in any language if we remember basic steps taught here

By Mustafa

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Apr 1, 2020

It covered all the basic you need to get started with Neural Network and Deep learning. Explanations for all the topic was fabulous. Overall it was a fun course.

By Sravan C

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Mar 29, 2020

If you want to get hold of your basics this is the go to course. There is no other course that can give you such intuitions and understanding of Deep Neural Nets

By Panyu X

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Mar 21, 2020

This course is designed perfectly for people with no machine learning background. The instructions are clear in the jupyter notebooks and can easily be followed.

By Madhu K

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Mar 16, 2020

The math behind all of the topics covered were actually not that difficult to follow up. Programming assignments were pretty easy and jupyter interface was good.

By milo h

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Feb 13, 2020

The course is brilliant! Andrew is teaching complicated things in easy way. Programming assignments are always clear and be able to be done without any headache!

By Rakesh D

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Dec 16, 2019

As i am a big fan of Andrew,in this course also Andrew did perfectly explain the theory and the practical codes. I'm very much confidant on neural network now.

By Minh H D

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May 31, 2019

It's my honor to learn from the legend of AI. I thought I knew Deep Learning but this course helps me a lot covering the lack of my knowledge. Thank you so much!

By Udayan D

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May 26, 2019

The course starts from the basics of logistic regression and guides the student through shallow and deep neural networks with excellent hands on coding exercises

By Keary P

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Apr 28, 2019

Great mix of theory and practice in neural networks. Andrew Ng is engaging and exciting as always as he presents intuitions into the math behind neural networks.

By Labib M R

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Sep 21, 2018

Very good course for people who are beginning to learn about ANN and DNN. Explains Backpropagation in very easy words. Thanks to Dr Andrew Ng for these contents.

By Kévin S

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Jul 31, 2018

It explain neural network from the start. After doing all the 5 courses on deeplearning, it is hard to remember details. But every one should follow this course.

By sahitesh k

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Apr 2, 2018

Excellent delivery of material. The way how the instructor does the math and simplifications from his perspective was awesome. Loved the week 4 material the most

By Ali A

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Nov 16, 2017

It was one of the most amazing course. I learned a lot through this course. Thank you so much to deeplearning.ai team and specially to Andrew Ng for this course.

By Nikhil S

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Oct 16, 2017

It's a great course. My sincere thanks to Professor Andrew Ng. I still wonder how the Professor has such patience to explain each and every bit of concept to us.

By Ali h

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Oct 10, 2017

Simplifies endlessly. Which dumbs it down a bit, but it is really convenient not to get stuck with unfamiliar concepts and just focus on neural network concepts.