Amazing course to understand verious concept of Hyperparameter tuning and optimization. Regularization concepts are very well explained and helped me to learn a lot!!

Very well taught by making simple explanations for various complex algorithms. Hope Tensorflow was taught more deeply as only the surface of it has been taught here .

Very recommended, even though the exercises can be passed without really understanding, they are very well explained and if you want to, you can learn lots from them.

The course content is of adequate depth and sets a good base for us to start applying DL in our projects. A project component can also be added to make it even better

This is the most important course to know in details about hyperparameters, epochs, regularization and opitmization. This course taught me in deep about improving DNN

Continues right where the first module stopped. Really like the sessions approach and the exercises and quizzes are well documented to serve as future 'cheat sheets'.

Nicely designed course with perfect explanations and guidance for learning and applying Deep Learning and to develop Deep Neural Network based applications very fast.

THe course is not a course where you will just go along with the hints... You need to do lots of logical thinking and also a bit of googling to understand what to do.

It is very clear that videos and homework in the course are carefully crafted and carefully handled , and again thank Coursesa for providing such a good course for us

Really useful content, describes multiple techniques to significantly improve NN training & implementation. Certainly useful for making efficient & effective networks

I love the way Andrew teaches. I am very grateful to learn so many things in deep learning from this course on optimization and my first small project on tensorflow.

This is really a very good course to do after learning the theories about neural, I would have loved it even more had the tensorflow material had been slightly more.

Learned very important aspect of tuning hyper-parameters in neural networks. It helps in better understanding how neural networks works and how we can optimize them.

The Author(s) have made that the hard concepts are simplified to understand to maximum extent. I thank and appreciate the way Andrew NG has articulated the concepts.

The professor helps me to learn many new, fantastic Deep Learning algorithms and concepts like Exponential Weighted Sum, Momentum Gradient Descent and Adam. Amazing!

This course was great to build up deep learning intuition and turbocharge existing experience. Learn what to do when things don't go to plan as well as when they do.

This is another of Ng's brilliant courses on the subject of neuronal networks. It is probably the best of such courses of such kind. I have learned a lot. Thank you!

Course taught by Professor Ng is always cool! I really learned lots of things on Deep Learning, especially on hyperparameter tuning, Regularization and Optimization.

Once again prof. Ng delivers on a course with the perfect content and the perfect pace. His well thought out approach to the material makes going thru this a breeze.

great course. very helpful both the lectures and programming exercises. Reading Depp Learning textbook along by Goodfellow et all helps to broaden the understanding.

If you have taken a few Machine Learning and Deep Learning courses online, you would know why Andrew's courses are the most friendly, engaging, and beautifully made.

It is very helpful to learn about hyperparameters also last week you will get familiar with TensorFlow. I highly recommend this deep learning specialization course.

Great Course with Top Instructors. Even if you are the beginner and not calculus expert, the detail and clear explanation from Prof. Andrew Ng. surely will suffice.

I learned several optimization strategies as well as some regularization technics. It was also great to have got introduced in the using of ML specialized software.