NN learning is the process of modifying net parameters to try to achieve a goal.
I interpret adaptation as learning from a sequence of I/O examples where parameters are updated after each presentation of a single example. I equate this with the term "sequential learning"
I interpret training as learning from a group of I/O examples where parameters are updated after each presentation of the whole group. I equate this with the term "batch learning"
The official definitions may differ. If you find some, please post the references.
For any function:
1.Use the help and doc commands to obtain the online documentation and a simple example
2. Use the type command to see the source code.
3. Use the lookfor command to find ALL instances of a term in the help section of ANY function
For example try
lookfor learn
and
lookfor train
Hope this helps.
- Thank you for formally accepting my answer*
Greg
