Deep learning is an awesome topic. The problem I find isn't the concept or the maths. It is the enormous amount of damn data janitorial work that I have to process everyday.
Oh data didn't come back in a clean format? 10 hours gone.
All these text need to be tagged? 2 days
What categories do these images fall under? Another 3 days spent tagging
Wanna parallelize your algorithmn? Ok, good luck learning how to deploy to multiple machines on AWS.
I will pay easily for a service that allows me to run my analysis in parallel without any sysadmin knowledge.
It is much needed course but it really doesn't compare with Codecademy's beginner course.
The design games were very vague and had no clear objective. I guess it is a bit harder to gamify something that is more subjective and "looser" in nature
Very interesting project. Via acoustic detection, the product aims to detect illegal usage of drones.
The usage cited are:
1. Smuggling of illegal contraband into prison
2. Illegal taping / paparazi usage
I am very surprized that no paparazi has used drones extensively. Surely you get much better angles than if you were hiding in the bushes (e.g. if you wanted to get an exclusive shot of Prince Willaims)
Oh data didn't come back in a clean format? 10 hours gone.
All these text need to be tagged? 2 days
What categories do these images fall under? Another 3 days spent tagging
Wanna parallelize your algorithmn? Ok, good luck learning how to deploy to multiple machines on AWS.
I will pay easily for a service that allows me to run my analysis in parallel without any sysadmin knowledge.