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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

    SD

    Jun 16, 2019

    Filled StarFilled StarFilled StarFilled StarFilled Star

    Thank you so for this wonderful course. Thank you Andrew Sir and the entire team. The forum especially is very lively and helpful. Thank you for making my learning experience exciting and brilliant.

    AK

    May 14, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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 .

    Filter by:

    1751 - 1775 of 10,000 Reviews for Neural Networks and Deep Learning

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    By Juliano G

    •

    Aug 18, 2019

    Outstanding! Really gives an in-depth overview of the intuitions behind deep neural networks! Deep Learning is less of "black magic" to me now!

    Thank you Andrew Ng for this carefully constructed course, you managed to make the "extremely complex" into something much easier to understand and replicate.

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    By Edwin H

    •

    Jul 23, 2019

    I do really thankfully appreciate for the basic fundaments of deep learning. Sometimes as deep learning user, we use only template toolbox like Pytorch or TensorFlow. But, with this fundaments as practioners we could explore and modfiy our models with taylor made solutions for our specified problems

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    By Tobias S

    •

    Jan 3, 2019

    Great overview of ML and Deep Networks. Andrew is a great teacher and very sensitive about presenting the material in an understandable way. The hardest part, in my opinion, is keeping the notation straight. If you know matrix algebra and have a novice amount of coding experience then you'll be fine.

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    By Joachim A

    •

    Sep 9, 2018

    I find this course very useful and I am learning quite fast. I still feel like a freshman as a lot of python code in the program assignments is still taken care of by the course creators. Any good references for learning how to import own data sets, cleaning up data sets etc... would be very helpful!

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    By Dipan M

    •

    May 2, 2018

    This is the best coure to learn Neural network. Leave aside all the clutter - the ground up approach and simplicity gives you deep foundation. On top of that, this couse gives all necessary help with great detail that you not only know the theory of Neural network - but implement on your own as well.

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    By Aleksandar O

    •

    Apr 23, 2018

    The definitive introduction to machine learning with neural networks. A positive evolution of Andrew Ng's old Stanford course also available on Coursera. It's quite a positive experience to see an instructor take extreme diligence in refining their material to be as streamlined to absorb as possible.

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    By Lucas D

    •

    Jun 14, 2024

    Foi extremamente gratificante e enriquecedor poder ter acesso a esse curso! Minha visão sobre a área de Inteligência Artificial, especificamente no quesito de redes neurais, foi expandida pontualmente e acredito que durante o tempo de curso eu pude evoluir muito enquanto profissional e cientista.

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    By Moshiur R T

    •

    Mar 2, 2023

    One of the finest Deep Learning & NN introductory courses I've ever seen. This one is well-organized as well as comprehensible.

    In fact, Andrew Ng always explains DL & ML concepts in such a simplistic yet comprehensive way, that I believe, makes them intelligible to audiences from non-CS fields too.

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    By Fuat A

    •

    Aug 23, 2020

    This course was hard but I don't complain at all. Course materials was very well prepared and informative.

    I highly believe that this course will help me build advanced deep learning models in my Phd thesis.

    Also I am very thankful for giving me the opportunity to take this course with financial aid.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Md M B S

    •

    Jul 12, 2020

    An amazing course for beginners who have just started learning the basics of deep learning. Course organization and assignments are well organized and documented properly. I couldn't help saying about the guidelines while doing assignments are extremely helpful. A highly recommended course to learn.

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    By Santanu G

    •

    May 30, 2020

    Excellent course for clear understanding of neural network and deep learning. Previously I knew use of neural network in MATLAB. But, I didn't knew it's implementation in Python. By doing this course I have gained the implementation of deep learning in Python. Thanks to all related with this course.

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    By Nidamarthi S

    •

    Apr 23, 2020

    I've completed the first course of the specialization(deep learning.ai). Course videos are excellent. Assignments are quite easy, programming is based on implementing the mathematical formulas and choosing the proper matrix dimensions. But when it comes to programming, the course has to be improved.

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    By Ashish G

    •

    Apr 16, 2020

    Many Machine Learning guys know about various inbuilt libraries but they don't know the internal functioning of those libraries. Through this course one gets an insight of why people use in-built libraries for training a deep learning model. This course is best to actually learn what ANN really are.

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    By Daisuke Y

    •

    Jan 30, 2020

    Good course to learn the basic of neural networks and deep learning. However, I have one request for improvement. I want lecture material in PDF files. I don't want to check each video every time when i want to check the equation in the video. I want to check the summary non-video files such as PDF.

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    By Michał P

    •

    Aug 4, 2019

    Overall great course, must see for beginners. Programming assignments seemed to be a little too easy (too detailed instructions made some parts trivial). You should definitely check Discussion Forums if you want to dig deeper into calculus presented throughout the course - some great articles there.

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    By Deleted A

    •

    May 9, 2019

    I highly recommend everybody who interested in AI learning this course at any time during his or her lifetime. Furthermore, I really appreciate deeping.ai and coursera gave me this precious opportunity to complete this course. It absolutely helps me a lot with fundamental expertise in deep learning.

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    By 沈建军

    •

    Jan 14, 2019

    The course is designed very well, step by step leads to N-layer neural network. The excise is very helpful, it is not to make difficult to students, rather make or encourage students learn a lot via step by step guide. After the course, I have great confidence to learn further deep learning courses.

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    By Omkar K

    •

    Nov 10, 2017

    I cannot thank deeplearning.ai enough for this coursework. I was hoping I'd get some exposure to Deep learning in Python and this specialization is exactly the thing I was looking for. I'm going to use the techniques learnt in this course and apply them in my internship, also in Kaggle competitions.

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    By Jeff B

    •

    Nov 4, 2017

    Excellent course. Well presented by Andrew Ng, who takes you through the materials at a relaxed pace.

    The course content is thorough and explains the concepts from a variety of angles, allowing you to understand even the more complicated mathematics.

    I enjoyed this course immensely, bring on module 2!

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    By Nazarii S

    •

    Jan 29, 2022

    A great course with quite a bit of theory (which many other courses so often lack) and plenty opportunity to practice the course materials. What is appealing in particular, is that in each assignment we're given less and less support so that we learn to rely on what we've learnt. Highly recommended

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    By Panneer S

    •

    Aug 31, 2020

    The course gave lots of insights into Neural networks and Deep learning. I suggest the learners to be patient till the end and go through all the lecturers. If you are not understanding at the first, if you read it once more you will be clear. Thanks Coursera for providing such an wonderful course.

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    By denglh

    •

    May 9, 2020

    Very clear explaination on basic concepts, the exercises are very useful for me to understand what I have learned in the course, after this, I am more eager to learn the next ones concerning hyper-parameter tuning and so on. Many thanks to the tutor and all the people who make this course possible.

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    By Binjie L

    •

    Mar 2, 2020

    This is course is really intuitive especially when Professor Andrew explains forward and backward propagations. All the videos and assignments are course related. It is really useful for me to understand Deep learning fundamental and how I can actually write my own DL model from scratch. Thank you!

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    By Vijayakumar G

    •

    May 24, 2019

    Mr. Andrew has a knack of making things simple. When you hear to his videos, it sounds so simple. The exercises are well thought through, very consistent with the variable names etc and very good mentor support. I thoroughly enjoyed and happened to finish the course earlier than I thought.

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    By João F

    •

    Apr 28, 2019

    Excellent course. Very detailed explanations of how neural networks work including most of the complex mathematics behind it. The topic is very complex but Professor Ng does a fantastic job in simplifying it as much as possible. I'm looking forward to the next courses of the specialization! Thanks!

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