Assignment #$1$: Learning and Classifier

Please develop your OWN python function to demonstrate learning process of "Binary

Classifier$.($Example: Lecture $1$ page $33-$ Louie Classifier$)$

A Colab program should use the developed function to mimic the learning process of the "Louie

Classifier". Each student can select a series of images $(5-10$ files$)$ for a target $($e$.$g$.$ Apple$)$ and

non$-$target $($e$.$g$.$ Banana$).$ The selected images should be the same type $($i$.$e$..$ Fruit in this example$).$

Format and Requirement:

Please save your file in 'Assig$1-$SID.ipynb' format where SID should be your student ID$,$

i$.$e$.$ Assig$1-$S$55$XXXXXX$.$ipynb etc

Please include comments to explain your code

Please declare a function name as "myClassifier$()"$ to accept $3$ input.

There are three inputs in the function:

The $1^{st}$ input is a list "SetImage" $($locate the image path$)$

The $2^{nd}$ input is a list "GroundTruth" of the images

The $3^{rd}$ input is a Boolean variable "RandomSeq" normal; $1=$ Random Sequence