Excelente continuación del primer curso, muy buen aprendizaje en el mejoramiento de lo visto en el primer curso y excelente introducción a Tensorflow 1.

some topics are explained in more of intution based way, rather than solid prof

but I don,t think its needed to implement in most real world situations.

Lot of new concepts and a very critical part of deep learning NN - Hyper parameter tuning and Optimization algorithms were a great learn in this course.

A must do course to learn neural networks. It teaches you a lot about the nitty gritty of neural networks and several methods to improve their accuracy.

Really liked material in this course. Felt that all of this are really practical and useful things on a daily basis working with deep learning subjects!

Excellent course, the theoretical basis is given with amazing explanations by Andrew Ng. To best way to learn more about optimizations in Deep Learning.

Still excellent for a rookie in deep learning. I've learned plenty of basic but valuable knowledge of how to improve deep neural network. Thanks Andrew.

this course will help you identify and tune all of your hyperparameters. It also gives an introduction to tensorflow that will at least get you started.

Again a very good course in the deep learning specialization. This one was a bit more daunting in the amount of math but Andrew Ng helps you through it!

The best deep learning specialization ever with simple and clear explanation. The assignments are directly applied real world machine learning problems.

You can't get a clearer explanation and examples of hyperparameter tuning, regularization, and optimization on Deep Neural Networks. Highly recommended.

This course will systematically teach students how to improve your model.

you will have overall knowledge and idea about model tuning and how to do it.

This course is great! It explains many of the things in deep learning that I wanted to learn (hyperparameter tuning, optimizers, etc.) incredibly well!

Course is excellent to know about tuning of model and how to apply advance algorithm like Adam, RMSprop and momentum etc. I am glad to do this course.

Excellent course. From shallow to deep. The homework is very carefully designed to make everyone could learn well. Thanks to Prof. Andrew and his team!

The explanation about the various parameters was very well structured and it really helped in understanding the necessity to tune our hyper parameters

This course helped me to understand improving my knowledge to build an efficient and faster deep learning algorithm. Thanks to the deep learning team.

i like this course, Andrew explained all the difficult mechanism of hyperparameter tuning techniques in a simply and easy to understand way. Thank you!

Very intuitive! Learned a lot in this course. Although PA is somewhat easy to finish. Forum is active and helpful. Looking forward to the next courses.

This is a great course in the Deeplearning sequel. It requires a lot of effort to complete, but the knowledge that you gain is big.

Thank you Andrew Ng!

Provides a good understanding how better initialize & make basic fine-tuning of parameter sets as well as a gentle introduction to TensorFlow framework

Very good course, like it. It gave me lot of understanding of what NN is and some background over the hyper params.

I would expect more sessions with TF

I think this course is the most import one in the specialization because it gathers a lot of practical tips and tricks to improve deep learning models.

This course taught me how to improve my models instead of just learning about deep learning. In fact, in some ways, this is the more important course.

very instructive. The only negative point, is that the introduction to Tensorflow is very light and quick. I hope to see more during the next classes