Jan 14, 2020
After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.
Dec 24, 2017
Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.
교육 기관: harm l•
Sep 03, 2017
Gave me a clear understanding on how to improve the calculus on a neural network. Computational software has advanced from programming in R of Python to software frameworks, hiding a lot of the math. Needs another study of the software frameworks though!
Thanks for the opportunity to join.
교육 기관: Maryam H•
Jun 19, 2019
prof. Ng's teaching was so great. some tricky details taught that I never considered them before. when I read the textbook, it was easy to understand and repetitive. I've learned simple and clean implementation. in overall it was important, simple, understandable, time efficient course.
교육 기관: Rahul K•
Feb 28, 2018
A very well structured course on some of the most overlooked (but critical) elements in Deep Learning. Prof. Andrew Ng definitely makes everything seem easy; he breaks down even the most complex of optimization algorithms and explains it with sheer simplicity. Would definitely recommend!
교육 기관: Pranaya M•
Aug 06, 2018
Course has been designed so well that even a aspiring beginner can learn the concepts very well.
Every student who wants to begin their career in the field of Deep Learning must follow this course.
Especially the tensor flow concept is taught very well with the help of exercise tutorial.
교육 기관: David J•
Jan 07, 2018
Thank you Andrew and Team for this course. I must say the course has surprised me and I have myself surprised my level of learning. But all credit to the way course is laid out and the step by step method of progress along with strong conceptual explanation helps a lot. Thank you again
교육 기관: Alejandro R V•
Jan 02, 2018
As usual, another incredible course taught by a really good teacher. I strongly recommend it to anyone who wants to get a firm garsp about optimization algorithms and how they really work, apart from hyperparameter tunning and regularization methods for bias/variance. Thank Andrew Ng!
교육 기관: Sanjay R B•
Jun 16, 2019
Very helpful in building on the foundation in neural networks and deep learning with practical experience. The programming assignments are reinforce key concepts and are a great asset to keep after the class and apply in projects. Andrew is doing great work bringing AI to the masses!
교육 기관: Dustin•
May 04, 2019
Nice illustration of the tricks including Batch-Norm, Optimization as well as Dropout, etc. Sometimes the lack of the theory is sort of unstatisfying, but considering the difficulty of a comprehensive intro for all of the above, it has been good enough for beginners to catch up with.
교육 기관: A S M A M•
Jan 01, 2018
While the first course in the specialization is the perfect introduction to the realm of NN, this course is the place where I learned to implement a true Deep Network. It talks about various optimizations and parameters of the DL models. Bonus, it introduces the tensorflow framework.
교육 기관: Ananth K•
Oct 24, 2017
Great course! Very well laid out approach to tuning a deep neural network. FInal introduction to Tensorflow was useful, but I think a lot of information was compressed into a single video. Suggest spreading this a little more. The Tensorflow programming assignment was pretty good.
교육 기관: Alberto B H•
Oct 07, 2017
Genial curso en el que aprender como optimizar tu red modificando una serie de parámetros y usando diferentes algoritmos. Ademas genial introducción a Tensorflow con el que avanzar en el montaje de redes de manera rápida. Recomendado totalmente tras realizar el curso anterior a este.
교육 기관: Anurag A•
Sep 10, 2017
This course is awesome. I never had this deep understanding of tuning hyperparameters, batch normalization and regularization before taking this course, though I went through several online material. The Tensorflow introduction and subsequent programming assignment is also excellent.
교육 기관: Prabhat K P•
Jan 10, 2020
The best course ever. I am highly impressed with the way Andrew Sir teaches and the depth of the topic, that he explains. You will never be left with a question unanswered. I am grateful to you sir, it made my life. Looking forward to complete the rest of the specialization courses.
교육 기관: Taras M•
Jul 26, 2018
It would be super cool if this course could be extended with pytorch just to compare with tensorflow. Usually courses are extended on udemy, for instance (not a marketing, just a comparison), even after all the materials are completed. It would be sand to have this course abandoned.
교육 기관: Nektarios K•
Jan 08, 2018
Really loved this course! I believe it is really important for anyone who completed the first one to enroll on this one as well as it goes over many important topics that are critical in implementing Neural Networks. And finally, it goes over Tensorflow which was really fun to do!
교육 기관: Emilio D P•
Sep 24, 2017
Fantastic course on Deep Learning. The concepts explained during the course are very useful, especially regularization (week 1) and optimization (week 2). The introduction to TensorFlow is great. This course has allowed me to read technical articles about DNN and understand them.
교육 기관: Timothy G•
Jul 15, 2019
This course was very helpful learn so additional information on hyperparameters which help me out at work. Where I was tuning my own and was able to get 88%. After taking this course and implementing what I learned into auto tune my hyperparameters my accuracy went up to 91.33%.
교육 기관: tgerlach•
May 30, 2018
This lectures + programming examples are very good for a kick start and to understand key concepts. I'm a mathematician, diving into deep learning. I really appreciate this course. The programming examples are valuable even if my python knowledge is on a beginners level. Thanks!
교육 기관: RAGHAV S•
May 25, 2018
This is such a crucial course to build upon the fundamentals of Neural Networks.
Especially the intuitions that Andrew has provided really add to the arsenal, I'm so glad I took this course.
Looking forward to the other courses in this specialisation.
Thank you Andrew/Coursera :)
교육 기관: Erik E•
Oct 02, 2017
This is a great course!! In this course a lot of the previous concepts start to be refined and streamlined for efficient implementation. I feel like this course gave me a better handle on the concepts that have been building since my first Machine Learning course by Andrew Ng.
교육 기관: Dishant G•
Sep 28, 2019
Very well explained each and every concept only I had struggle in gradient checking and every other video and quizzes are great. I hope after doing these courses I will definitely get a good career start after my graduation.
Andrew Ng Sir is Greatest teacher I have found yet.
교육 기관: Miguel P d L•
Nov 26, 2017
Excellent course, even using intuitions Prof. Andrew Ng is able to communicate the very details of the different regularization approaches, as well how to do a good hyper-parameter search. Finally it introduces the TensorFlow framework with a very nice programming assignment.
교육 기관: Yang Z•
Dec 15, 2019
This course gives learner a high level strategy in tuning hyperprameter. It teaches me not only the knowledge but also the intuition about the processes. It is also great to learn how to use Tensorflow framework in training models. Great job deeplearning.ai team and Andrew!!
교육 기관: Kai-Peter M•
Oct 28, 2019
Great course!!! The best online course I have ever taken! I enjoyed almost every day I participated in that course, really an educational treasure! It is so comprehensive and detailed at the same time. Due to the good presentation of the topics it was really understandable.
교육 기관: Mandar K•
Jul 22, 2019
Wonderful course and material. Andrew has a great way of explaining the topics in the simplest way. Although I had some issue with understanding the optimizers, I learned a great deal. However, This course needs a revamp using Tensorflow 2.0 for the tutorials :) Thank you