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

4.9
stars
121,644 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

JN

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I know this is intended for a broad audience, but I found that the assignments were too easy. Not that they are testing easy material, but that the answers are almost stated directly in the questions.

AK

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One of the best courses I have taken so far. The instructor has been very clear and precise throughout the course. The homework section is also designed in such a way that it helps the student learn .

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3001 - 3025 of 10,000 Reviews for Neural Networks and Deep Learning

By vijay k

•

Nov 4, 2017

Dear Sir,

Course material and teaching is very nice. Thank you very much for providing such comprehensive material and detailed explanation.

Looking forward to take further courses in this specialization.

Thanks

Vijaya Kumar

By Osama Z

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Oct 23, 2017

Always pleasure to take a course of Andrew NG, He is a great instructor and taught very well now, I have to implement by learning in my on-going Deep Learning Project. Hopefully well complete all 5 courses of deeplearning.ai.

By Mia C

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Sep 6, 2017

Andrew Ng is a phenomenal instructor with a very fluid and clear style. His ability to simplify complex concepts of deep learning (as well as the underlying mathematics) makes the learning experience both rewarding and fun !

By Zhefei M

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May 19, 2022

This course is very detailed. It is a very good course to get started with NN and DL. I am coming to this course for the lecturer Andrew. This is highly recommended for beginners who wish to have a deep understanding in DL.

By Muhammad A K

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Aug 10, 2021

Amazing & Fantastic course to get yourself ready for the more advance universe of Deep Learning. Starting from Logistic Regression Model, the course gradually unpacks the real power of Deep Learning. Thanks to Sir Andrew Ng!

By Daniel

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May 11, 2021

An interesting course introduces Neural Networks specifically on Binary Classification using Logistic Regression and further details of building an image classifier prediction application. Thank you for the great experience!

By 박하탕

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Jan 10, 2021

This course is very easy to understand! Even If you are a 6-months experienced CS newbie, you can complete it. (If you just entered on the coding, it could be hard) I highly recommend this course and appreciate professor Ng!

By Nataraj K S

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Aug 26, 2020

The material presented in an easy but effective way. Information provided in depth manner and developed confidence in the subject area. Assignments were really helpful to improve the confidence on coding the neural networks.

By David A

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Jul 27, 2020

This Course is well design and teaches the deep learning topic effectively, i loved the jupyter notebook assignments since they allow you to put in practice interactively all the knowledge you have acquired during the week

By Ashutosh K

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Jun 25, 2020

Andrew NG is the best instructor on Coursera, His way of putting forward the intuitions excites the most about new aspects of the field. I really enjoyed completing the course and look forward to complete the specialisation.

By Pablo N M

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Jun 15, 2020

From the mathematical foundation to a N-layer neural network, seamlessly going from one single neuron, to multiple neurons in a single layer, to several layers of several neurons. Nice to get a solid foundation on the topic!

By Dipanshu S

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May 14, 2020

Great course by Prof. Andrew! I have a suggestion that it would be better if you could allow more abstractions in the assignments instead of giving everything tailormade for students as it will help us in improving the code.

By Rajkumar R

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May 6, 2020

The course was very useful. The instructor demonstrated and cleared all fundamental concepts of NN and detailed calculations have enhanced the actual background computations. The programming assignments enriched the learning

By Nidhi V S

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Apr 18, 2020

The course is well designed and easy to follow along. The quizzes and programming assignments provide a greater understanding of the theory and I was able to get a better understanding of the course material because of them.

By Troy N

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Apr 9, 2020

Very challenging. I have been implementing NNs for some time now using keras, and this course has given me a greater intuition on whats happening in the 'black box'. I look forward to the other courses in the specialization.

By Tallam S

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Jan 24, 2020

Very helpful for beginners starting with Deep learning. Assignments helped in understanding how to break the entire training into different phases & also how to implement in code which makes understanding even more better :D

By Marcel C

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Dec 9, 2019

Excellent introduction into deep learning. I also liked the programming assignment, though sometimes it felt a little repetitive. But I guess in order for the concepts to stick in someones head, this repetition is necessary.

By Mukesh B R

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Oct 6, 2019

This course is a must see for anyone who is interested to delve into the world of Deep Learning. Professor Andrew NG teaches the most critical parts of Neural Networks with finesse and makes sure to drive the intuition home.

By Joachim S

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Sep 26, 2019

Excellent starter on neural networks! Minor suggestion though if you get a chance to re-record parts of this: use a better microphone. The sound is poor at times. But since the content is what matters, definitely five stars.

By swetha n

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May 28, 2019

Love the depth of this course and the fact that we did everything without getting into the tensorflow/keras jargons. Thanks Andrew Ng and team! You are making learning fun and accessible, and we are really grateful for that.

By Pawan C

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Jun 28, 2018

Excellent course by Andrew Ng and team. Provides good in-sight into deep learning and applications. Course material and programming exercises are very well structured to allow smooth learning curve for working professionals.

By Hoël P

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Apr 17, 2018

Des vidéos très instructives, détaillées et assez complètes.

Des quizz précis sur les points cruciaux, charnières de la compréhension.

Et des travaux python accompagnés amenant à une autonomie finale avec des codes génériques.

By Robert P

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Apr 16, 2018

The content is generally great and well worth it. Perhaps the only frustrating aspect is navigating to the Jupyter notebooks. I wish the links to the notebooks were on the same pages as the Submission and Discussion links.

By Ganesh N P

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Apr 8, 2018

Very good material top get introduced to implementing Neural networks. Enough detail in the assignments to make the concepts clear. The videos of talks by noteworthy professionals in the deep learning industry was inspiring.

By Stephane

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Mar 25, 2018

Enjoyed the Machine Learning courses, and this new venture is even better. Thorough mathematics, engaging teacher and practical assignments that are both fun and challenging. I look forward to the rest of the specialisation!