Curso bem ministrado, com um olhar profundo para o tema. Gostei muito, supriu a necessidade que eu tinha em entender a fundo redes neurais

Nice course in addition to the other course in the specialization. Could be longer and deeper but still it's nice to get another insights.

Awesome, as always. Hands on and invaluable Machine-Learning practicing tips that I feel will help a lot in the future. Well don Andrew :)

Excellent course, differentiated with lots of relevant information. Many years of experience translated into a set of best practice guide.

This course is very valuable. Andrew shared a lot of first hand experience which I can hardly find in such a systematic way anywhere else.

Really helpful at getting insight about how to plan your next project, and where to place all your efforts when your algorithm seems stuck

Nice to learn more about the nuances of training neural nets and what we could do to improve performance rather than wasting lots of time.

This is a qualitative course, which is essential as it decides the direction of your project and where you spend your time in the project

While a lot of the guidance was heuristic it provided very useful insight. It was a useful course for applying neural network technology

I have been a huge fan of this specialization. This course particularly helps us understand the errors occurred while implementing ML/DL.

A very unique course covering the subtle problems one starts facing when one works in machine/deep learning projects. Highly recommended.

It is good course to understand real world problems.There is too much theoretical knowledge and exposure but sometimes it is boring also.

Even though I'm quite experienced with training models, I find this course is very useful and can give me valuable directions. Thank you.

This course is more focused on experience and advices that can make the difference in terms of efficiency when implementing ML projects.

Lo que aprendí en este curso es realmente importante, porque aprendí cómo analizar los resultados y buenas herramientas para mejorarlos.

Very valuable the practical considerations in implementation of NN or ML systems. I haven't seen anything like these discussed anywhere.

Excellent Course. Gives Deeper Insight to the Structuring of Large Scale ML Projects. Learned Transfer Learning and Multi-Task Learning.

Highly recommend this to anyone who works on personal projects or is a manager guiding a data science team on a machine learning project

Good and interesting course with interesting examples from real practice, and elegant engineering solutions to solved a lot of problems!

These all courses are really very clear and easily taught. I am eagerly waiting for the Convolutional Neural Network and Sequence Model.

It would be better if one passes the quiz, you just show the correct answers and reasons for the questions in which one has made mistake

I learned a lot of helpful techniques after finishing the course. I recommend this course to everyone who is ML projects, enthusiastic.

An amazing course to provide you with valuable knowledge on how to go about implementing your machine learning projects systematically.

Very interesting. Case studies are very useful for self evaluation. Awesome content by Prof. Andrew Ng and his team. Thank you so much.

I really enjoyed Andrew Xg's knowledge and advice in this class. I especially enjoyed the problems at the end of each week's lectures.