End-to-end learning: Difference between revisions

Revision as of 22:11, 12 July 2017

This is student work which has not yet been approved as correct by the instructor

Case study notes^[1]

Introduction[edit]

End-to-end learning is a process in which the machine uses previously gained input, in order correctly tackle its current situation. This process can be separated into two major parts. First of those parts being "training", in which the machine records what types of inputs does the human operator uses in what sort of situations. Based on this input than the machine can act accordingly in the execution. ^[2]

 <ref> the url I cited by material from </ref>

How does it work or a deeper look[edit]

If you are discussing a PROCESS OR ABSTRACT CONCEPT (like fuzzy logic) you must deeply explain how it works.

As mentioned in the introductiuo

Examples[edit]

Please include some example of how your concept is actually used. Your example must include WHERE it is used, and WHAT IS BENEFIT of it being used.

Autonomous Cars

Pictures, diagrams[edit]

Pictures and diagrams go a LONG way to helping someone understand a topic. Especially if your topic is a little abstract or complex. Using a picture or diagram is a two part process:

External links[edit]

It would be helpful
to include many links
to other internet resources
to help fellow students
Please make sure the content is good
and don't link to a google search results, please

References[edit]

[1] ttp://www.flaticon.com/

[2] ttps://computersciencewiki.org/images/a/ab/2018_case_study.pdf

[1]

[2]

@@ Line 8: / Line 8: @@
 == Introduction ==
-Please write a clear, concise description of your topic here.You will likely reference your introduction from somewhere else. Please use the following syntax at the end of each of your ideas. '''IT IS CRITICAL YOU ATTRIBUTE''' others work. Your introduction should be factual. No more than 3 or 4 sentences, please. Because you are not an expert in your topic, I expect you to triangulate your information. LOTS OF LINK TO OTHER RESOURCES PLEASE!
 End-to-end learning is a process in which the machine uses previously gained input, in order correctly tackle its current situation. This process can be separated into two major parts. First of those parts being "training", in which the machine records what types of inputs does the human operator uses in what sort of situations. Based on this input than the machine can act accordingly in the execution. <ref>https://computersciencewiki.org/images/a/ab/2018_case_study.pdf</ref>