Classification
Explore the process of classifying handwritten digits with convolutional neural networks. Learn how to prepare image data, train on the MNIST dataset, and use the trained CNN model to recognize real hand-drawn digits. This lesson helps you understand the data preprocessing steps and model setup needed for effective digit classification.
We'll cover the following...
We'll cover the following...
Chapter Goals:
- Understand how hand-drawn digits are processed and passed into the model for classification
A. Model logistics
The run_model_setup function below shows how to set ...