End-to-end learning

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Case study notes[1]


End-to-end learning is a type of ""deep learning"" process in which all of the parameters are trained jointly, rather than step by step. [2] Furthermore, just like in the case of ""deep learning"", in end-to-end learning machine uses previously gained human input, in order to execute its task accordingly.[3] This proces is specyfcly prevelant in the industry auntonomous cars(our 2018's case study), as this process with its benefites fitts perfectly with the car's Convolutional neural networks (CNNs).

How does it work or a deeper look[edit]

End-to-end learning can be separated into two major parts.

"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.

As mentioned in the introductiuo


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:

  1. upload a file
  2. use the file on a wiki page

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