good

cool

Nice

Good

This course gives an extremely high-level overview of neural networks. The theory behind neural networks is somewhat explained, but only built-in functions are used to implement a network. You'll get an extremely high-level overview of the topic. It's a good start though if you are absolutely new to neural networks.

This project provides an introductory level of learning classification algorithms. However, there are insufficient explanations for each step as the instructor only types without elucidating the concept behind it. It makes me feel like I am doing fill in the blanks.

It is not Basic. You have to know Machine Learning and good theory and relative terms to follow it. It does not explain how to set your own set of images in order to try your own test

it just a very rough tutorial of the process

Project was good but I think the instructor should have given more insight about every coding details that was included in this project.

Could have explained data "normalization" and standardization more. Feels like we just glossed over a bunch of things.

The course was good, fast and simple, but it lacks a little theory to backup the practical parts.

just fabulous and brilliantly explained

NICE

GOOD

This project was too long because the jupyter notebook in rhyme is not working completely. So, it takes a lot of time and it is irritating enough. If I want to print"Hello", it's printing somewhat like this "helllllllllloooooooo", therefore two question arises. First, I am not able to use the capital letters on jupyter notebook and second, multiple characters are also printing. Also, the interface of rhyme is not good enough. Also, a project explanation can include more basic stuff to provide clear fundamentals for the project.

Atleast explain the terms which you write,

Locked out even though I paid for course.

yes