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


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