A simple Convolutional Network
The said jupyter notebook was updated on June 27. Somewhere around 11 June, 2023, I trained a small Convolutional Network. The steps were following: Defined the Convolutional Base - used conv2d & maxpooling layers Defined the Classifier Base - used dense and flatten layers Used the MNIST Data Standardized the data - Dividing each pixel by 255 Performed one-hot-encoding of test and train data labels Defined the compiler Trained the Model The accuracy on training data was more than 99 %. Made Predictions on test data The accuracy on test data was more than 98 %. Visualized the images You can see the jupyternotebook here ----- A Simple Convolutional Network