In this video we are going to learn how to create a Convolution Neural Network to Classify digits from 0 to 9. We will write the Training code from scratch and go step by step to train about 10000 images of 10 different classes . Later we will create a testing script to use along with a webcam I will be sharing all the details including the version of the packages and the parameters for the training

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#CNN #Keras #DigitRecognition

ORIGINAL DATA SET is from Char74K - http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/

##################### DATA SET USED IN VIDEO ################################### https://drive.google.com/open?id=1cZr91zzHl93H1cbmIwx_7upfQPPMPi33 ######################################################################

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Links:

Classify Traffic Signs: https://youtu.be/SWaYRyi0TTs

How To Install OPENCV in Python: https://youtu.be/CJXIjApHYVs

5 Must Know OpencCV Functions: https://youtu.be/7kHhz7nkpBw

Easy Object Following Robot using Arduino and PixyCam: https://youtu.be/w_krOCBk1DE

Robot Arm Arduino Tutorial | Gesture Controlled: https://youtu.be/gmz7eOB-tCg