Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Exceptional course: complete overwiew of basic concepts of Neural Network + good introduction to Tensorflow

Very useful follow up to the first course in this specialization. Learned all the details of how to tune and optimize a deep neural network, as well as nice introduction to Tensorflow. Some typos in the comments of the final assignments but they were easy to spot. This time Jupiter notebooks worked better that during the time I was working on the previous course with less or no resets required.

useful, clear and exercises were not frustrating

Very informative, I liked the explanations as to how to approach fine-tuning your neural networks

Andrew Ng is my favorite teacher

Very nice course that provide enough information for learning start handle their optimization process and implement in their own work.

Great intro into Deep Learning! Thanks!

It has copious details that helps me a lot.

very instructive material

Very well explained and detailed. The less positive aspect is that I think the programming assignements are a bit too easy. But for the rest it's perfect, it's always interesting and clear. Thank you for the high quality content !

Well balanced syllabus. covering the intuitive part as well as the procedure of implementation.

The focus on building "intuitions" behind the math has been a refreshing approach to learning material like this. Thank you!