muy poco ejemplos prácticos que se puedan seguir la momento de la explicación, hablan de una manera muy general pero no no dan ejemplos explícitos de su uso. no muestran como se transforma una palabra en un vector, el único ejemplo con el que se logra entender lo que esta realizando es el ejemplo inicial de los triángulos desplazándose sobre los filtros y las imágenes, en el resto de temática nunca aterrizan sus ejemplos

From my point of view as student who completed all weeks:

-The forum is totally dead. Nobody answers the questions since months. No support.

-You will not have a feedback of the assignments that you do.

-Confusing explanations. The order is not the correct

-Very theoretical and few practice.

You will need to search on internet other explanatioins to understand some parts. Hope standford course is better.

Very poor and low quality explanations.. lecturer starts the very first video mentioning about neural networks, convolutional networks, deep learning.. etc.. dropping a huge number of buzzwords and just following the script of the lecture, without realising, that he hasn't even said: WHAT EXACTLY Machine Learning is..

Very vague and obscure.

Not recommended.

Question 1 Quiz 1: Why is machine learning exciting? Really? Glad that's a free demo course, otherwise would've been a waste

Can't speed up the video. Speaker's too slow

Do not like how I cannot unenroll myself even if I see how this course is something I am not being able to manage.

I dont have the requird skills for the course and now I am unable to unenroll from the course.

Very advanced for an introductory course in my opinion

Please cancel this course. I want to opt out of it

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