Initialization
Understand the MNIST dataset structure and normalize input images for CNN processing. Learn to initialize model parameters, including input dimensions and output size, to prepare for handwritten digit classification with convolutional neural networks.
We'll cover the following...
We'll cover the following...
Chapter Goals:
- Learn about the MNIST database
- Initialize the model with input and output size
A. MNIST
The MNIST (Modified National Institute of Standards and Technology) database contains 60,000 training examples and 10,000 testing examples. The database contains grayscale handwritten digits that were resized to fit in a 20x20 pixel box, which was then centered in a 28x28 image (padded with whitespace). The images were resized using an ...