TITLE: Case by Case
DESCRIPTION: Case by Case, my Nature of Code final project came from the idea to distinguish lowercase letters from uppercase letters for little kids to use. This was inspired by a parent-teacher meeting for my 3-year old. The teacher told me that my child was really good at identifying uppercase letters, but not lower case letters. When we read, we are deciphering many strings of lowercase letters, so I wanted to figure out a fun exercise to help him learn in preparation to learning how to read.
MAIN GOAL: To explore and understand the initial steps of letter and number recognition in a machine learning system using Shiffman’s Neural Network with p5 example of handwritten numbers and applying letters to his sketch.
PRESENTATION:
CASE BY CASE PRESENTATION
DOCUMENTATION:
Continued from last week’s Final Project: Step 1….
1) To distinguish between upper and lowercase letters, I needed to creating the handwritten letter dataset to add to Shiffman’s Neural Network.
ASCI_TEST
TEST WITH DECORATIVE LETTER
NEXT STEPS: To keep exploring this method and eventually build this kid’s app that could not only create testing data from what the child writes, but could also be a fun way for kid’s to practice writing their letters and identifying the letters case by case.
SOURCE CODE:
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