01·Data: features, labels, dataset, batch, epoch

Introduction

Before a network can learn, you must know exactly what enters it. This lesson lays out the basic vocabulary: what features (input) and labels (the expected answer) are, how they combine into a dataset, and what we mean by batch and epoch. Without this terminology, the rest of the chapter (loss, training loop, evaluation) is impossible to grasp.