Apr 19, 2020
Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course
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.
교육 기관: Leitner C S E S•
Aug 29, 2017
Excellent course. But -1 for using TensorFlow, a not-really-free framework, to introduce students to them.
교육 기관: Jayshree R•
Jul 04, 2019
An intuitive approach towards Hyper parameters. Covers the concept of optimization algorithms quiet well.
교육 기관: Makragić A•
Jan 09, 2019
Great lectures, I'm little disappointed with TensorFlow tutorial, there should be 1 week for that only...
교육 기관: Richard H•
Sep 29, 2017
Fills in the tricky gaps in using DNN that are necessary to transition from basics to practical projects.
교육 기관: Shaun L•
Mar 21, 2020
Too much code is given, which makes the programming assignments too easy. The material is great, though.
교육 기관: Shijian G•
Nov 29, 2019
These series are generally clear and well-organized. It would be better to provide tensorflow materials.
교육 기관: Nguyễn V T•
Jun 24, 2020
This course so very good for person who wants to understand the optimization topic in machine learning.
교육 기관: Tanmay•
Jun 02, 2020
Nice content; creators must try to focus on enhancing the confidence of learners to code by themselves.
교육 기관: Ranjan D•
Jul 17, 2019
Great explanation on tuning different hyper parameters and how they can effect the model's performance.
교육 기관: Keanu T•
Jun 26, 2019
I wish it went a little more in-depth with softmax classifiers but I can find that online so it's good.
교육 기관: Byron M•
Apr 09, 2018
The final assignment didn't have the right instructions, a lot of misleading comments and instructions.
교육 기관: Matías L M•
Oct 30, 2017
The professor is really good at explaining. The projects got more interesting than in the first course.
교육 기관: Per K•
Oct 03, 2017
Get you to a more practical understanding of deep learning. The introduction to TensorFlow is valuable.
교육 기관: Alexandros I T•
Mar 09, 2020
I would like to learn the V2 of TensorFlow. Except that. exceptional course. I love Andrew's teaching!
교육 기관: LEO L•
Jul 31, 2019
All is good except the submission part, sometime return submission failure without specifying a reason
교육 기관: Hamza E B•
Jun 22, 2019
Great Course ! I learned a lot, but I would have preferred another Framework though (like Pytorch) ...
교육 기관: Qingyun W•
Jun 06, 2019
Some typos in the programming assignment is still not fixed (Mentioned in top posts in the discussion)
교육 기관: ryan m•
Oct 08, 2018
a very informative course, I was introduced to Tensorflow through this course... I absolutely loved it
교육 기관: Dan C•
Feb 28, 2018
I had a bug in my compute_cost function that caused cost to spiral but the grader did not catch it....
교육 기관: Yash J•
May 18, 2020
There should have been deeper explanation for the tensor flow section. Otherwise an excellent course.
교육 기관: John C•
May 18, 2020
Great instruction on the fundamentals. Probably need to update to Tensorflow 2 or just teach Keras.
교육 기관: Akshat D•
Apr 22, 2020
This was one of the amazing courses I've ever attended on Coursera. Kudos to Andrew NG and the team.
교육 기관: sahil a•
Mar 11, 2020
week 3 : Tensorflow framework explanation can be much better otherwise the whole course is very good
교육 기관: Lin Z•
Mar 28, 2019
interesting introduction about deep neuro networks with examples on how to use Tensorflow framework.