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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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5076 - 5100 of 10,000 Reviews for Neural Networks and Deep Learning

By Agnis A

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Aug 24, 2017

A great introduction in neural nets! Looking forward to the continuation and can't wait to use the knowledge in practice. Best wishes and keep up the good work!

By hervind

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Aug 13, 2017

Andrew Ng is awesome, the way you speak, the curriculum constructed and soon . love that programming exercise in ipython notebook.

Looking forward to next course

By Bitan M

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Mar 18, 2023

The curriculam was awesome. Special thanks to the Instructor Mr. Andrew NG for clearing such a complex topic so easily. The course content was well structured.

By Mahesh S

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May 1, 2022

This is a nice course for deep learning. I am studying deep learning as my elective subject at my final semester of my B.E degree. This course helped me a lot.

By 조정래

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Nov 20, 2021

Every test was very clear, i.e. every code required specific input and output specs. And explanation of L-layer neural network and its notations was very nice.

By Nestor I O G

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Mar 27, 2021

excellent course with the basics of neural networks, I could learn to program a deep neural network without the use of libraries, step by step, it is so useful

By Shadab A

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Jan 26, 2021

A great course to introduce learners to the backstage of Neural Networks. It should also offer more mathematical rigor (optional) along with the other content.

By Roopesh R

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Dec 21, 2020

Great Material, awesome presentation. Loved the coding assignments, a little less on Math, I would have preferred a more mathematical treatment of the subject.

By Muzahidul A

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Sep 6, 2020

materials are more than enough. exercises were tough but most of the graded functions were explained more than a learner needs. it made the assignments easier.

By Romana M A S B

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Sep 2, 2020

I couldn't be more grateful for this course. Andrew Ng is exceptionally good at explaining the difficult concepts of DL and makes the subject fun and exciting.

By Vatsal B

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Aug 18, 2020

An amazing course on neural networks and deep learning even for beginners it's a very good course. Each and every topic is being explained briefly and clearly.

By April T

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Jul 19, 2020

I love this course. The instructor explains each step in a very clear way and I can implement the algorithms step by step with instructions. Feels pretty well!

By Daniel A R M

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Jun 27, 2020

El curso es muy enriquecedor y tiene un ritmo adecuado de aprendizaje, incluso para aquellas personas que no tienen conocimientos profundos sobre programacion.

By Scott W

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Jun 5, 2020

Excellent course. A little bit of a refresher if you've taken Andrew Ng's Machine Learning class, but the Python implementation makes it sincerely worthwhile.

By Ivan S

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Jun 1, 2020

I have some background in mathematics and python so it was very exciting to learn how NN actually works on a low level. Thank you very much for a great course.

By NANCY S

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May 11, 2020

This course helped me understand what all goes inside the neural networks. Especially the math part and the numpy implementation that makes it run much faster.

By Shih-Ching ( W

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May 9, 2020

This course is amazing!!! Even the mathematical part is easy to understand. This course rescued my disastrous semester in my real life grad school, seriously!!

By vivek m

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May 8, 2020

It's indeed a very well structured course. The buzz word "deep learning" appears no more buzzing now. It appears very simple now. Gained much confidence in it.

By Anh N

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Jan 18, 2020

This course helps me to develop much deeper understanding in Deep Neural Network and gain practical skills like how to implement a Neural Network from scratch.

By Maxim V

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Sep 25, 2019

A concise course teaching to build deep neural networks from scratch without any special tools (besides NumPy). Really clarified a few important things for me!

By Sven S

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Jul 24, 2019

Motivating series of videos with quality explanation, quizzes and hands-on assignments. Didactically well tuned. Voice, speed and modulation are very pleasant.

By gowtham t k

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Jun 2, 2019

This course helped me in Understanding the architecture of Neural Networks and also gave hands- on experience to code functioning of Neural Network from basic.

By Cristóbal C

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Jan 11, 2019

Totalmente recomendado, aprendí bastante, el único problema es que los subtítulos están en ingles y a veces confundían algunos términos, por lo demás excelente

By Shresht S

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Dec 10, 2018

Very well structured course. I particularly like how the assignments were in jupyter notebooks. The content was relevant and the course was explained very well

By Prashant R

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Sep 28, 2018

A lot of interesting and relevant details. Loved doing the programming assignments in Jupyter notebooks - gave me a good feel for how to implement neural nets.