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

4.9
stars
122,014 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

AS

Jul 10, 2021

I have learned a lot of thing in deep learning such as neural network , deep neural network , forward propagation , backward propagation , broadcasting and vectorization.This is very important for me.

L

Apr 6, 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.

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2651 - 2675 of 10,000 Reviews for Neural Networks and Deep Learning

By Mouliswar R R

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May 9, 2020

The videos are very useful in understanding Neural networks. There wasnt much of a struggle in finding the required documentation/information whenever needed. The assignments and quizzes proved to be helpful in grading myself after each week.

By Kong

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May 22, 2019

Excellent lectures and coding practices with elaborated diagrams. Very easy to understand and touch the important contents of NN. Hopefully more details in optional math video for people who wants to explore deeper. Overall, like it a lot!

By Sergii C

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Aug 3, 2018

Good introduction to the basics of creating your own deep learning model without using any frameworks. Provides intuitions and explanations for all the formulas used so you can really understand why it is done like that. Amazing lecturer too.

By Dipanjan M

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Jul 2, 2018

Difficult subject taught in an extremely easy and interesting approach. Programming assignments are created in a very organized manner so that learners can understand many underlying concepts easily and gradually increase their learning rate.

By Alejandro R V

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Dec 24, 2017

Incredible course, as usual when Andrew Nag. is the teacher! Everything so clear, good math background to understand how it all works instead of just applying, and funny! I strongly recommend it to anyone who is interested in neural networks.

By Romulo F

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Sep 10, 2017

The way the course is structured and how Andrew teachs are amazing, you really can combine teory and practice to learning about neural network and deep learning. For those of you that want to go deep in this subject, this course is mandatory.

By Nir L

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Sep 9, 2017

Great course, really accessible. All you need is a basic understanding of coding concepts and machine learning (at its base), and the course will lead you through everything.

Great balance between theoretical background and coding assignments.

By Zhang H

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Sep 5, 2017

This tutorial is really very good. Each concept has been explained clearly. And it is very important to do the assignment, which can help us to understand the course. I strongly recommend those who are interested in AI to addend this course .

By Minh L

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Nov 9, 2023

The course provides more detailed knowledge about Neural network , all the quiz and assignments are more challenging than in ML specialization, and i love it! I wish it would have more optional reading articles to understand the math behind!

By Hirenkumar G

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Jan 16, 2021

Good course to start with basic concepts of neural network and deep neural networks. It gives exhaustive exercises and questions to cross-check the concept learns. Thank you very much for financial aid and designing such a well paced course.

By Mallikarjunadas C

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Nov 26, 2020

Brilliant! If one were to sincerely work through the derivations of both forward propagation and backward propagation as elucidated by Professor Andrew Ng in the class, one does come away with a good sense of what's happening under the hood.

By 林泉

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Aug 17, 2020

The best course on Coursera. Dr.Ng is amazing, and I want to learn more from him. People who are interested in deep learning should take this course, very clear and accurate explanation about every theory and detail. Love the course so much!

By Santiago H

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May 28, 2020

Very good course. It goes through all the essential elements about Deep Learning with a good guidance and makes easy to understand all the process. Of course, having such an extense and detailed practical part is a key feature of the course.

By Ewelina H B

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May 19, 2020

It has been an amazing journey! I recommend this course for people who like challenges and who seek for simple and clear explanations for complicated tasks. This course has a very good structure, interesting lectures and inspiring exercises.

By Deepak V

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Apr 13, 2020

A brief and precise intro to deep learning , If you want more of concept than programming then this is the best course to go for. Andrew as always keeps rocking with a stunning course hoping to go for the second course of this specialization

By Gourav S

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Mar 7, 2020

This course has helped me clear a lot of misconceptions about neural networks and taught me a lot about deep learning and I am really thankful to Andrew for the same. I am more than excited to go for the next course under the specialization.

By Kieran D J

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Mar 4, 2020

Great Course!!! I was able to complete in 1 week while still on free trial. I took a lot of handwritten notes and i will keep them with me as long as I'm working in this field. Thank you so much to the people at coursera and deeplearning.ai.

By Antariksha P

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May 18, 2019

The course has sufficient workload to keep a novice programmer (like me) engaged. It's not too dense and not too light. The mentors are active in the discussion forum (which is a key point) and they help you get through the course with ease.

By Benjamin W

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Feb 12, 2019

Very good introduction and foundation for Deep Learning.

The programming exercises are too easy in my opinion, because you only have to fill in some lines.

The focus of this course is not programming. It's more about how Neural Networks works.

By Yuvraj G

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Feb 2, 2019

It is a very well curate course course to step into the field of deep learning with good hands on exercises. The professor addresses basic but very useful details with great simplicity that helps a lot in learning and retaining the concepts.

By Abhinav K

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Jul 29, 2018

This course is really good for the people who wants to learn deep learning from basic.

This really helped me to get a start in deep learning.All the excercise are very well designed and easy to understand and implement.

thanks for this course

By Shaun C

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May 16, 2018

I like Andrew Ng's teaching style! I learned a lot from his lectures. The most precious thing is that he is willing to share what he has known with people all over the world. I wish his autonomous car business in Texas to be a great success!

By Luca

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Apr 20, 2018

Great course, Andrew Ng is just the best teacher for NN and machine learning. Assignments and quiz too easy, probably i will struggle on the implementing it on my own. But is common to MOOC so definitely the best deep learning MOOC out there

By Lennart H

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Dec 16, 2017

Excellent introduction to Deep Learning. Andrew's didactic approach allows everyone to get to know the topic. Just two ideas how to improve this course: I would find it helpful if I could download lecture slides and access written summaries.

By Zak F

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Nov 21, 2017

Great introduction to Neural Networks with well balanced theory and practice. Although quite complex in places (i.e. back-propagation derivatives) it is well explained and thoughtfully laid out to build on the concepts learnt. Great course!