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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

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(143 customer reviews)
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9.2/10 (Our Score)
Product is rated as #17 in category Machine Learning

This course will teach you the “magic” of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also learn TensorFlow. After 3 weeks, you will: – Understand industry best–practices for building deep learning applications. – Be able to effectively use the common neural network “tricks”, including initialization, L2 and dropout regularization, Batch normalization, gradient checking, – Be able to implement and apply a variety of optimization algorithms, such as mini–batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. – Understand new best–practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance – Be able to implement a neural network in TensorFlow. This is the second course of the Deep Learning Specialization. deeplearning.ai is Andrew Ng’s new venture which amongst others, strives for providing comprehensive AI education beyond borders.

Instructor Details

Andrew Ng is Co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University. His machine learning course is the MOOC that had led to the founding of Coursera! In 2011, he led the development of Stanford University’s main MOOC (Massive Open Online Courses) platform and also taught an online Machine Learning class to over 100,000 students, thus helping launch the MOOC movement and also leading to the founding of Coursera. Ng also works on machine learning, with an emphasis on deep learning. He had founded and led the “Google Brain” project, which developed massive-scale deep learning algorithms. This resulted in the famous “Google cat” result, in which a massive neural network with 1 billion parameters learned from unlabeled YouTube videos to detect cats. Until recently, he led Baidu's ~1300 person AI Group, which developed technologies in deep learning, speech, computer vision, NLP, and other areas.

Specification: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Duration

15 hours

Year

2017

Level

Beginner

Certificate

Yes

Quizzes

Yes

143 reviews for Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

4.8 out of 5
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  1. Avatar

    Manish C

    Like all other andrew ng courses this course is also the best course to deep dive into neural network algorithms .

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  2. Avatar

    Zhuo C

    This might not be the best curse . in the world, but it is doubtlessly the best one in my mind. Thank you, Dr. Andrew! Thank you, Coursera! Also, many thanks to Github!

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  3. Avatar

    Prashant P

    The course content is of adequate depth and sets a good base for us to start applying DL in our projects. A project component can also be added to make it even better

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  4. Avatar

    Md F I

    Great experience!

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  5. Avatar

    heykel

    Absolutely helpful for Newbies to Coding and Machine Learning. It gives a great intuition also for managers, who are typically useless in coding…

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  6. Avatar

    Janis R

    Nice intro to TensorFlow, thanks!

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  7. Avatar

    ngoy m

    Learning quickly from very well thought out and put together lectures by Prof. Ng and team

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  8. Avatar

    Ridvan B

    The teacher is awesome and if you are interested in that topic, this course is just perfect.

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  9. Avatar

    Nicolas L

    programming assignment should be more open, with less guidance

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  10. Avatar

    Hideyuki K

    Very nice course since it contains “real–world” examples.

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  11. Avatar

    Tanay G

    This course taught me a lot of new concepts and tricks to speed up the training process as well as ways to reduce overfitting and biasing in a neural network. I would’ve liked the course even more if the instructors took a deeper dive in frameworks.

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  12. Avatar

    Karan A

    Notebooks didn’t work properly

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  13. Avatar

    yangyandi

    It’s a very useful course for me to have a better understanding of hyperparameter in neural network.

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  14. Avatar

    Sathiya N C

    a very good course to get started with hands–on deep learning. This will not only cover the hyperparameters and optimization techniques but also covers the underlying math and reasoning behind using it. It’s fun! Go for it!

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  15. Avatar

    AhmedAbdel–Aal

    it was great course, what i learned was very useful in a very good way of teaching. thanks Coursera and thanks Andrew Ng

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  16. Avatar

    AhmedAbdel Aal

    it was great course, what i learned was very useful in a very good way of teaching. thanks Coursera and thanks Andrew Ng

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  17. Avatar

    Piyush K B

    Great teaching by Andrew Ng. Learnt a lot and I feel confident to implement it.

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  18. Avatar

    Ashwin A R

    This course helped in deepening knowledge about optimization techniques and how they could make ML/DL algorithms robust while training. This also provides a good introduction to the Tensor flow framework.

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  19. Avatar

    Juan P A A

    The contents are actually good, and it doesn’t require a very extensive prior knowledge, so it’s even suitable for people with little experience in programming or math. However, despite being a course that has been out for over 2 years, there are still some subtitle issues (in English), and typos on a clarification slide.

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  20. Avatar

    George

    the course was very intuitive, even for some who didnt have any robust computational algebra

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  21. Avatar

    Murtaza V

    Great Learning Experience

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  22. Avatar

    Akilu R M

    Great, well organised, student–centred course.

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  23. Avatar

    AKSHAY K C

    Great follow–up course by the instructor after the Neural Networks Course. Got an in–depth understanding of hyperparameter, regularization, and optimization. Kudos to the team for designing such a good course.

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  24. Avatar

    Avishek S

    Good learning!

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  25. Avatar

    pranav b

    Best Course For Learning Hyper parameters Tuning

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  26. Avatar

    Fabrice H T

    Super!!!

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  27. Avatar

    Muhammad T B

    very wonderful course for Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

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  28. Avatar

    Sreenivas N M

    Excellent second course that backs up the first course in tuning.

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  29. Avatar

    Abdul M

    math part was quite difficult to understand

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  30. Avatar

    Neelesh A

    Absolutely elegantly done by Prof. Andrew Ng. Have become a Deep Learning addict, thanks to the professor. Eagerly looking forward to the next one!

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  31. Avatar

    Abdelrahman R

    Thanks

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  32. Avatar

    Jairo J P H

    El curso es muy bueno, particularmente estoy muy agradecido con COURSERA, por darme la oportunidad de hacer los cinco cursos de la Especializacion en Deep Learning con ayuda economica y permitirme tener acceso a este tipo de capacitacion y certificacion. Muchas Gracias&! The course is very good, particularly I am very grateful to COURSERA, for giving me the opportunity to do the five courses of the Deep Learning Specialization with financial aid and allowing me to have access to this type of training and certification. Thank you very much!

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  33. Avatar

    Raju L

    I am really grateful to the deeplearning.ai community and Coursera for providing such an amazing platform to learn and grow. undoubtedly, one of the best courses for learning deep neural networks.

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  34. Avatar

    venkatesh

    Definitely 5 star ..This teaching is cake walk for newbies and concepts explained very well.

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  35. Avatar

    Wooshik K

    Thank you very much for giving me an opportunity to learn every aspect of deep learning so easily.

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  36. Avatar

    Jose A F R

    Un curso muy bueno, el instructor tiene dominio del tema y sobre todo el final del curso es muy bueno en cuestion de poner en practica la teoria que al principio te explica. En ocasiones el instructor va un poco rapido en los terminos teoricos y puede llegar a abrumarte. Creo queria ideal poner mas ejemplos practicos cada que explica un concepto.

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  37. Avatar

    Abdallah D

    Fantastic course providing a broad overview of hyperparameter tuning in deep neural networks. The introduction on TensorFlow is informative. Looking forward to the three remaining courses of this great specialization on machine leaning. Thanks Andrew and their assistants for putting those courses together!

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  38. Avatar

    Dipanjan G

    This again is an excellent insight on the hyper parameters and deep learning frameworks. The extreme prowess in the subject but at the same time a very lucid and relaxed style of teaching from Andrew helps quickly grasp these difficult concepts. Looking forward to much more!!!

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  39. Avatar

    Karandeep

    Course is very good but better notes should be provided as it is a paid course. Also, it would be better if assignments are little challenging and hints shouldn’t be provided at every step.

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  40. Avatar

    Ratnakar

    Glad to have done this course.

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  41. Avatar

    Jun

    very clear explaination

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  42. Avatar

    Yuanxin L

    Very good!

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  43. Avatar

    MAYANK A

    Please provide slides at the end of whole course

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  44. Avatar

    Dweep J

    Very well taught!!!

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  45. Avatar

    Vishakha S

    I think a short video on tensorflow might help the learners

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  46. Avatar

    Himanshu G

    very insightful and developed intuition

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  47. Avatar

    Anand K

    The insights provided by Prof. Andrew are priceless. I sincerely hope that I get to go in such depths, as taught by him while implementing these algorithms in real–world applications.

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  48. Avatar

    Prashant M

    A very nice course explaining the details of hyperparameter tuning. Thanks to Coursera and Andrew Sir for such a wonderful course.

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  49. Avatar

    Muhammad w

    I was a great learning experience thanks team and specially Andrew

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  50. Avatar

    Nikhil N

    Amazing course! Really helped me to understand the intricacies behind neural network workings and how to exploit them to improve performance.

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  51. Avatar

    Deep G

    Amazing content!

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  52. Avatar

    jarat m

    just amazing

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  53. Avatar

    Saurabh K M

    The course is awesome…..literally speaking… awesome…!!

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  54. Avatar

    Marshall

    Great overview with good practice problems. I never felt overwhelmed during the class.

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  55. Avatar

    Goda D R

    The video content is very good to get a good hang of theoretical aspects but the programming assignments are too spoon fed because of which after doing filling the blanks, you don’t feel confident enough to implement the same on your own. Instead the assignments should be changed to cases where instructions are given in words and entire function should be implemented by students.

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  56. Avatar

    Mohamed A B

    More tensorFlow would be nice, great course honestly great work on intutions

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  57. Avatar

    Juncheol Y

    ^^

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  58. Avatar

    Abhishek

    Amazing course, helped me with introduction to Tensorflow

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  59. Avatar

    Mariola N

    Excellent course and very useful introduction to Tensorflow.

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  60. Avatar

    Prashant A

    Very good instruction

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  61. Avatar

    Erik H

    Learnt a lot re: tuning of hyperparams, optimization algos, and tensorflow.

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  62. Avatar

    Ignacio H M

    I enrolled in this course without taking the previous ones (I have already done an MSc in Computer Vision and Machine Learning so I thought I wouldn’t need the others), but the material has been easy to follow and understand. It is really interesting as it helps you understand important concepts such as bias and variance, or why does batch normalisation work. Sometimes Deep Learning can be seen more as an art than a science, and this course is helpful for defining a good strategy when carrying out deep learing experiments.

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  63. Avatar

    Rocco I

    Good course, as the previous ones. I wish we had the possibility to download the slides or get some summary notes… Going back to the videos to check some infos is not handy.

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  64. Avatar

    John G

    Great overview of optimizing networks and intro to tensorflow.

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  65. Avatar

    Xiangyu P

    Very clear explanation. Carefully designed practices. Wonderful Course!

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  66. Avatar

    Abhishek S

    very helpful must join and do all questions !

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  67. Avatar

    Jordi A C

    Very nice and well explained continuation to course 1. Very usefull tools to optimize results.

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  68. Avatar

    Kingsley N K K

    Good guideline and full of useful information.!

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  69. Avatar

    Rajesh R

    Great courser to study and practise. Highly recommend it.

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  70. Avatar

    M A

    As a 2 3yrs experienced deep learning developer should say that this specialization is awesome specifically this course, it’s really practical every day to get a better result just tune the parameters as you’ve learned in the course and boom that’s it you get a better model. Thanks

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  71. Avatar

    Shaun L

    Too much code is given, which makes the programming assignments too easy. The material is great, though.

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  72. Avatar

    William

    This is everything I am looking for. Step by step basic AI. I have already taken a couple other AI specializations but I wanted to step back and really understand the basics.

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  73. Avatar

    Manish.M

    Really informative course to learn about the various kinds of optimizations and the differences between the optimization techniques. Learnt how to tune the hyper parameters for effective training . Also got a chance to learn about mini batches and the corresponding gradient descent and the difference between batch and mini batch gradient descent.

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  74. Avatar

    Ritik G

    The course is good and teach very high level concepts very easily.

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  75. Avatar

    jagrati s

    For a busy mom of 2, 42 year old, senior executive., this course is best optimize for the pockets of time I get. Concepts are explained very clearly, and course is well paced

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  76. Avatar

    Dhruv P

    WOW, Vet insightful

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  77. Avatar

    S A

    An amazing course. Can’t wait to explore the other courses under this specialization

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  78. Avatar

    Hugues D S

    Great insight on “rare” local optima in high dimensional spaces.

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  79. Avatar

    Arun G

    Excellent course, giving a very good insight into how to approach building a deep neural network, the concepts of various parameters, tips on how to best achieve a good algorithm and a step by step walk through of the different algorithms, parameters and optimization.

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  80. Avatar

    Mert C

    Perfect. Golden quality. Thanks to Andrew Ng.

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  81. Avatar

    Aditya K

    Everything till now was good, But I can’t tell why my forward propagation method is rejected although it matches the expected output. So my marks were deducted for it without any reasonable explanation.

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  82. Avatar

    santosh

    Excellent course. Bit tougher than first course

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  83. Avatar

    Snow H

    Really helpful for me

    Helpful(0) Unhelpful(0)You have already voted this
  84. Avatar

    Haziqa S

    Wonderful

    Helpful(0) Unhelpful(0)You have already voted this
  85. Avatar

    Tohid S

    This course was amazing. I am speechless about how Andrew presented the materials. I enjoyed every minute of it!

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  86. Avatar

    Shawn B

    great!

    Helpful(0) Unhelpful(0)You have already voted this
  87. Avatar

    Francesco C

    The part on optimization algorithms is really great!

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  88. Avatar

    Okta F S

    I’m very happy can finish this course. After taking this course, I understand how to optimize deep learning model, how to tuning hyperparameters. Also, by doing the programming assignment I can understand how to do optimization process from scratch

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  89. Avatar

    Surga K G

    Really good and clear explanation of concepts and thanks to Andrew NG sir

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  90. Avatar

    Yanto J

    Thanks to Prof Andrew, now I can understand the roles of hyperparameters. Tuning them skillfully requires a lot of experience, though.

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  91. Avatar

    MD S A

    Great insight into deeper concepts of deep learning. Lectures on different optimizers very helpful in understanding the basic concepts. Introduction of Tensorflow is great.

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  92. Avatar

    Bhanuprakash B

    Best course to get clear with concepts of Deep Learning.

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  93. Avatar

    Alexander S

    Very good overall, exercises could be a bit more free

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  94. Avatar

    Juan B T G

    This course, as part of Deep Learning specialization, is simply great.

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  95. Avatar

    PRIYANSH K

    nice course and very helpful

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  96. Avatar

    Lei Y

    Always excellent!

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  97. Avatar

    Justin G

    A good step up of difficulty from the first course, I’m going to finish this Specialization

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  98. Avatar

    Boris B

    Informative overview about ML techniques which are helping on the way to improve modelling with deep learning.

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  99. Avatar

    MANOJ K

    Great content for beginners and concept focused.

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  100. Avatar

    David F

    Excellent course. Helper code still feels a little too much.

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  101. Avatar

    Disheng M

    Tensorflow is kind of outdated, hard to find documentation

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  102. Avatar

    Nilesh S

    Best Course

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  103. Avatar

    Mohammad S I

    I am really glad to learn the tuning and optimization techniques. Hopefully, I can implement them whenever I need. Learning a new framework (TensorFlow) and using it to ease up the bigger calculations was the best thing about the course. Hats off to Andrew NG for designing a course like that.

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  104. Avatar

    naren

    Thank you so much for preparing such a good content!

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  105. Avatar

    Jag S S

    Tensorflow Version used in last assignment is old and syntax has been changed in tensorflow 2.0, it should be updated. But Overall very knowledgeable and insightful course.

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  106. Avatar

    Zachary Z

    Learned a lot about tuning and different frameworks. Definitely math intensive and more of a brief overview than a deep dive of these techniques and tools.

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  107. Avatar

    Rohit G

    The tensorflow portions need to be updated. Otherwise it’s a great module, building on the previous courses.

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  108. Avatar

    Shyam P

    This is the best course ever on hyperparameter tuning and regularization as well as optimization. A big thanks to Andrew Ng sir and his team.

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  109. Avatar

    prateek l

    There should be more examples first of all then moving to mathematics.

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  110. Avatar

    Maxime C

    Really good course. This incrementation of difficulty while reusing previous courses is perfectly working

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  111. Avatar

    Saurabh M

    I’ve done courses with similar content but no other teacher could explain it like Andre Ng. It is really a course you must do if you’ve completed the intro course

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  112. Avatar

    Mohammad J P

    Great!

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  113. Avatar

    Jeffrey B

    Another great course! Can’t wait for the next one!

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  114. Avatar

    Rafael R

    Muito bom

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  115. Avatar

    Akash D

    Thank You! Sir

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  116. Avatar

    Adrian M

    Appreciate so much more the core essentials of applying common optimizations to NN models.

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  117. Avatar

    Dingduo Z

    Able to follow and understand root cause

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  118. Avatar

    Santosh M

    Excellent course

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  119. Avatar

    KISHOR

    i learnt a lot about tuning Neural Networks through various optimization and regularization methods in this course. this helped me a lot in understanding the working and derivatives of optimizing neural networks through various algorithms. this course is making the foundations of deep learning look easy and understandable than other sources to the person who is taking up this course.

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  120. Avatar

    Zhao Z

    The course is easy to understand, and the assignment design is very thoughtful. Many parts that do not matter much with key knowledge have already been completed for us, which significantly improves our learning efficiency

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  121. Avatar

    Divy D

    I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

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  122. Avatar

    Paraskevas P

    More practical examples would be very useful.

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  123. Avatar

    Prateek S

    Great course. Covered most of the optimization techniques.

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  124. Avatar

    Mohammad a

    Great Course (y)

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  125. Avatar

    Tolga

    Great course. You learn a lot on optimization and normalization techniques and tensorflow.

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  126. Avatar

    Deepak S M

    This course has valuable content! Well satisfied. 🙂

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  127. Avatar

    Purushothaman S

    Wonderful course!!!!!

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  128. Avatar

    Zhe W

    Very detailed so it is not hard to follow. Professor really put his heart and effort on this course. Thanks!

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  129. Avatar

    Muhammad A k

    5/5.Thank you sir for helping me in my career.I recommend everyone to go through this course if you really want to learn detail about hyper parameter tuning , optimizers and regularization used to make neural network better. It helps to open black box of Neural network and know in detail about how all works.

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  130. Avatar

    Naveen S P

    It’s Excellent experience !!!

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  131. Avatar

    Mehedi S

    Beautifully organized

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  132. Avatar

    Uday N

    Excellent Course

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  133. Avatar

    Thomas P

    Some more basics on tensorflow would have been great!

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  134. Avatar

    Sajib K S J

    I am lucky enough to get financial aid. Thank u courSera..Thanks a lot.. NG Sir is a masterclass..

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  135. Avatar

    sudheer k

    great teaching in an easier approach. Thanks Andrew 🙂

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  136. Avatar

    farhad

    Well organized and good assignment materials

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  137. Avatar

    Rahul K

    Andrew NG in Machine and Deep Learning is like Bruce Lee in Martial Arts. Starting from class 1, he covered each and every small topic and correlated those beautifully. Feels lucky to attend this course. Highly Recommended!

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  138. Avatar

    Shiyang F

    Great

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  139. Avatar

    Aleksander L

    I’m not sure if those technics are still applicable with high level libraries, but I really like the way Prof. Ng explains it and it helps me to better understand how it works behind the scenes of already written functions

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  140. Avatar

    Nick M

    really clear and well paced

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  141. Avatar

    Bkash T

    Learned a lot of interesting stuff to improve the speed and efficiency of the model. Moreover, the introduction to the TensorFlow framework was intuitive.

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  142. Avatar

    Shantanu M

    best to understand the internal working of neural networks and different parameter tunning to make their functioning faster and efficient

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  143. Avatar

    Deeplaxmi L

    Thankyou for your great guidance sir. I am diploma student where we ain’t taught much maths related to ML. I found difficult to understand mathematical equations. So i request you to upload a course on that too.

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    Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

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