Section outline

    • Course Introduction File

      This chapter present an introduction to deep learning, starting with an explanation of machine learning and its differences from traditional programming. It covers important terminologies like model, feature, target variable, training, and prediction. It also discusses types of learning, including supervised, unsupervised, and semi-supervised learning, providing examples and algorithms for each.