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    Back to Neural Networks and Deep Learning

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

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    4.9
    stars
    122,904 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 techno...
    ...

    Top reviews

    JP

    Feb 12, 2018

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    I would love some pointers to additional references for each video. Also, the instructor keeps saying that the math behind backprop is hard. What about an optional video with that? Otherwise, awesome!

    DM

    May 1, 2020

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    I was actually a kind of half cooked in neural network. Thanks to Dr.Adnrew for his wonderful explanation, I am directly going to register for convolution neural network as I gained enough confidence

    Filter by:

    3101 - 3125 of 10,000 Reviews for Neural Networks and Deep Learning

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    By Fabian U H

    •

    May 17, 2018

    Very good introduction to Deep Learning, the pace was good and manageable for someone without any background in Machine Learning, the lectures were interesting and the assignments definitely help solidifying the concepts.

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    By Debasish G

    •

    Apr 2, 2018

    I liked how the course builds up iteratively. Starting with logistic regression and then defining a neural network as a composition of LR units was just awesome. Another great part was the consistent notations being used.

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    By Yan Z

    •

    Mar 25, 2018

    I have worked on ml for almost 1 year, although this lecture is not so complicated as that in universities, it helps me to understand the ml more, especially the Heroes for Deep Learning, quite interesting and impressive.

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    By Deleted A

    •

    Dec 14, 2017

    Excellent course and course materials. Andrew Sir explained each concept beautifully(no other word coming to my mind). Totally worth it. I now have confidence that I can learn deep learning. Looking forward to next course

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    By Hiep N V

    •

    Nov 9, 2017

    This is a great course, I've learned a lot about deep learning like: forward propagation, backward propagation, neural network, deep neural network, and so on. I'm very exciting to attend more classes about deep learning.

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    By Rafał W

    •

    Oct 21, 2017

    Explanations, pace and clarity are just perfect. Only the last assignment was quite confusing due to varying indexations (list vs parameters dictionary) and varying return value A instead of prev_A is I recall correctly.

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    By yuan j

    •

    Oct 6, 2017

    Simple but useful. However, I really need a class and especially homework to teach me how to derive back-propagation algorithm, which is important for job interviews of machine learning/data mining/data science in China

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    By Michael T

    •

    Sep 27, 2017

    The teaching of this course was very clear, and the coding parts took you by the hand and focused you on the core concepts without making you struggle too much with debugging. I'm surprised at how accessible they made it.

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    By Alfonso G M

    •

    Feb 26, 2022

    It is awesome how Andrew breaks it down into basic steps so you can understand the process and build the neural networks on your own without importing tensorflow or any related library, I am excited for the next course.

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    By Alec T

    •

    Aug 23, 2021

    The combination of the hands-on exercises will provide a wholistic learning experience. The professor is well spoken, supportive, and understands how to communicate to those outside of the ML field. Well worth your time!

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    By Benjamin R

    •

    Jan 13, 2021

    Such an excellent course to learn Deep Learning. Andrew Ng is an incredible teacher, making this "complicated" domain looks very easy. I am looking forward to pass the other courses. Thank you very much for all the work!

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    By yael h

    •

    Nov 12, 2020

    In total - a great way to get into the field, though I have started Andrew's ML course in parallel and it gave a better background. During the course I thought there was place for more "optional" mathematical background.

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    By Mahyar

    •

    Oct 12, 2020

    It is a course which gave me a step by step guideline to learn the concept of deep learning with hands-on projects which enhanced my intuition about the contents of the course. Thank you for offering such a great course.

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    By Mukunthan K

    •

    Aug 29, 2020

    The course is perfectly designed to provide practical knowledge of programming and applying the concepts and also makes it easier to understand the basics and fundamentals of the computation happening behind the program.

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    By Muhammad A A

    •

    Jul 31, 2020

    If you are looking for a starting point to begin your journey of deep learning I will strongly recommend this course. Although it is mostly theoretical but programming exercise give you a chance to try your coding skills

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    By Kabyanil T

    •

    Jul 13, 2020

    i have done tensorflow courses earlier. but to be able to implement deep NNs without using external frameworks was impossible for me, until i discovered this course. great explanation and quality questions + assignments.

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    By Aditya B

    •

    Jul 12, 2020

    Prof. Andrew has proven that no one can teach Deep Learning better than him. The way is build upon simple concepts and implements them is assignment is what gives the learner confidence in the practicality of the theory.

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    By Akram M M A O

    •

    Jun 27, 2020

    it's a very interesting training course, full of guides, the professor is an incredible knowledgeable man, the interview is such as as the presentation course, all things are soooo nice, see you in the next course 2 of 5

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    By VENKATA N S H N 1

    •

    Jun 15, 2020

    The best course to take up while starting of with deep learning . The instructor has structured the course were well , not just giving us only the overview of the concepts, but really builds up a very in depth intuition.

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    By Hosnie J

    •

    May 5, 2020

    The course was plenty helpful even for me, not knowing a single word about NN. The instructor is really good and accompanied by quizzes and assignments you will a get picture of how NN works. Thank you very MUCH Coursera

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    By Ryan B

    •

    Apr 24, 2020

    Andrew did a great job of being clear with his explanations without sacrificing the pace of the course. If your goal is to progress swiftly with your learning and acquire understanding/intuition, this is the one to take.

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    By Rupal A

    •

    Mar 28, 2020

    Excellent course by Andrew N.G . It explains in detail how to build logistic regression and a convolutional neural network with two and more than two layers. Overall an excellent course to get started with deep learning.

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    By Utkarsh S

    •

    Mar 11, 2020

    I feel much more confident about my skills after completing this course. All the topics are explained in very simply language and that helped me staying focused. Plus, "Heroes of Deep Learning" section kept me motivated.

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    By Erik P

    •

    Jul 1, 2019

    A great theoretical walk-through of the key concepts behind neural networks. The programming exercises also help further cement the understanding you get from the videos. By far best course on neural networks I've found.

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    By Sri S P

    •

    Apr 8, 2019

    Excellent course to get a clear understanding on what "Deep" learning is, how it compare to "Shallow" learning . Also how Neural Networks and Deep Learning relate. Also as always Dr. Andrew Ng is THE best at teaching ^_^

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