Introduction to the Letter Classification Data Set
Learn to explore and prepare the letter classification dataset, applying one-hot encoding for multiclass classification. Understand dataset features and initialization parameters needed to train a neural network using softmax activation.
We'll cover the following...
The letter classification dataset
The dataset consists of pixel values for generating A, B, and C along with their labels. This is a multiclass classification problem because we have to predict the probability of the letter A, B, or C, given the pixel configuration.
📝 Note: A multiclass classification problem requires the labels to be one-hot encoded.
📝 One-hot encoding is used to quantify categorical data, i.e., data having multiple categories. It generates a vector with the length equal to the number of categories in the data set. If a data point belongs to the ...