Introduction to Deep Learning

Deep learning is a branch of machine learning that teaches computers to do what comes naturally to humans: learn from experience. The learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as model. Deep learning uses neural networks to learn useful representations of data directly from images. It is a specialized form of machine learning that can be used for applications such as classifying images, detecting objects, recognizing speech, and describing the content. The relevant features are automatically extracted from the images. The deep learning algorithms can be applied to supervised and unsupervised learning. These algorithms scale with data, that is, the performance of the network improves with size of the data.