Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI
About the Course
Top reviews
DD
Mar 29, 2020
I have done two courses under Andrew ng and I am grateful to 糖心vlog官网观看 for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.
XG
Oct 31, 2017
Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.
1726 - 1750 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By Tan S P
鈥Sep 30, 2017
The last programming exercise is really tough if you're not so good at Tensorflow. So you're better be good at it
By C-y T
鈥Sep 10, 2017
Dr. Ng shares his programming experience, provides easy and intuitive explanations of some complicated processes.
By Immanuel D
鈥Oct 25, 2023
Amazing for Absolute beginners who want to learn about working and significance of Hyperparameter optimizations.
By Robert W M
鈥Aug 12, 2022
An excellent resource for learning about how different optimization algorithms really work. Thank you Andrew Ng!
By Manika J
鈥Dec 3, 2021
This is one of the best courses to develop intuitive understanding of Deep Neural Networks along. Simply amazing
By Mina H
鈥Oct 6, 2020
Andrew is a great instructor. I've learned so much about hyperparameters in this course and I'm really grateful.
By Tanay A
鈥Jun 29, 2020
It's a really great course. A must even if you know the basics, as it really adds value to what you already know
By Long C
鈥Jun 26, 2020
Highly recommend. Best babysitting course for everyone to explore the complicated deep neural network algorithm.
By Tohid S
鈥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
鈥Jan 29, 2020
very wonderful course for Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
By Karthik K M
鈥Oct 11, 2019
Awesome course to know about the hyperparameters and their tuning and its importance while training the network.
By Suvansh B
鈥Sep 16, 2019
Its a great course for learning optimization techniques which are very well explained with the math behind them.
By adolfo b
鈥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
鈥Jul 16, 2019
Perhaps more examples of tensor overflow with direct implementation of neural networks provided by the framework
By Jorge M G O
鈥Jun 2, 2019
Estoy muy emocionado por los cursos de la especializacion, he aprendido bastante. Le agradezco a deeplearning.ai
By Hanna P
鈥May 6, 2019
Highly useful course. Complex concepts are explained in a structured way which makes them easily understandable.
By pochadri a
鈥Jan 28, 2019
very good understanding of the hyperparameters for various optimization algos is given, with very good intution.
By Mike I
鈥Aug 25, 2018
Was insightful and excellent. Looking forward to immediately learn the next course as I implement the knowledge.
By SHENGCHAO Z
鈥May 7, 2018
Good Course! But for the last week's assignment, more details and instructions needed for the Tensorflow syntax.
By Kranti A
鈥Mar 5, 2018
Thanks for clear explanation and for good content, helped me to understand and learn how to improve Optimization
By 氚曥劃 / P S
鈥Dec 27, 2017
It was very helpful to grasp the differences in the concept of 'Normalization, Regularization and Optimization'
By Vito D
鈥Sep 19, 2017
Excellent course, updated my knowledge of gradient descent optimization techniques, introduced me to tensorflow.
By Tianyue Z
鈥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
鈥Sep 3, 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
鈥Mar 1, 2021
Excellent and detailed. Really gives intuitive understanding of how your optimisations work behind the scenes.