NA
Jan 13, 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.
HD
Dec 5, 2019
I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.
the only thing i didn't have completely clear is the barch norm, it is so confuse
By Long C
•Jun 26, 2020
Highly recommend. Best babysitting course for everyone to explore the complicated deep neural network algorithm.
By Tohid S
•Mar 24, 2020
This course was amazing. I am speechless about how Andrew presented the materials. I enjoyed every minute of it!
By Muhammad T B
•Jan 29, 2020
very wonderful course for Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
By Karthik K M
•Oct 11, 2019
Awesome course to know about the hyperparameters and their tuning and its importance while training the network.
By Suvansh B
•Sep 15, 2019
Its a great course for learning optimization techniques which are very well explained with the math behind them.
By adolfo b
•Aug 28, 2019
Great course. I now have a better understanding of the process of fine tuning a model to maximize its accuracy.
By Christian V
•Jul 15, 2019
Perhaps more examples of tensor overflow with direct implementation of neural networks provided by the framework
By Jorge M G O
•Jun 2, 2019
Estoy muy emocionado por los cursos de la especializacion, he aprendido bastante. Le agradezco a deeplearning.ai
By Hanna P
•May 6, 2019
Highly useful course. Complex concepts are explained in a structured way which makes them easily understandable.
By pochadri a
•Jan 27, 2019
very good understanding of the hyperparameters for various optimization algos is given, with very good intution.
By Mike I
•Aug 24, 2018
Was insightful and excellent. Looking forward to immediately learn the next course as I implement the knowledge.
By SHENGCHAO Z
•May 6, 2018
Good Course! But for the last week's assignment, more details and instructions needed for the Tensorflow syntax.
By Kranti A
•Mar 4, 2018
Thanks for clear explanation and for good content, helped me to understand and learn how to improve Optimization
By 박석 / P S
•Dec 26, 2017
It was very helpful to grasp the differences in the concept of 'Normalization, Regularization and Optimization'
By Vito D
•Sep 18, 2017
Excellent course, updated my knowledge of gradient descent optimization techniques, introduced me to tensorflow.
By Tianyue Z
•Sep 11, 2017
introduced different aspects of how to improve the performance of NN. For beginners like me, it is very helpful.
By Amalka W
•Sep 2, 2017
This course teach how to tune the deep neural network which is one of the most important aspect of deep learning
By Dan H
•Feb 28, 2021
Excellent and detailed. Really gives intuitive understanding of how your optimisations work behind the scenes.
By Navneet N
•Sep 28, 2020
This course is beautifully designed and practice and lab assignments take us on a journey from root to the top.
By Gokul S
•Jul 31, 2020
The Intricacies of Fine Tuning a model to ooze out performance from is conveyed quite clearly from this course.
By DUDHAVAT K M
•Jun 14, 2020
I really like the way Andrew explains the reason behind each type of algorithm and when to use it in our model.
By Andy W
•Jun 13, 2020
Better than the previous course. I would recommend if you are more likely to apply what you learn into practice
By Pree R
•Feb 20, 2020
This is a great course designed to give students proper insight into the hyperparameters & their tuning methods
By Aamir I
•Jul 15, 2019
I am delighted to have completed this course, now I know how Hyperparametrs actually work and how to tune them.
By William F
•Feb 17, 2019
Good solid theory and practice advancing my understanding of deep learning and an effective intro to TensorFlow