/classification-cnn

Hand Written Digit Classification with CNN

Primary LanguageJupyter Notebook

classification-cnn

Hand Written Digit Classification with CNN

STEPS INVOLVED

1.Import the libraries (tf and keras) and load the dataset (mnist contains 60,000 training images •10,000 testing images)

2.Reshaping and Normalizing the Images (preprocessing - grayscaling for kerasAPI(0 to 255))

3.Building the Convolutional Neural Network (sequential model : convo2d, maxpool, flatten, dropout, dense) Screenshot 2021-08-20 at 2.50.38 PM.png

4.Compiling and training the model ( adam optimizer, sparse categorical cassentropy with relu and softmax)

5.Evaluating the Model

read the blog for a detailed explanation by me hand_written_digit_detection