Introduction to deep learning

Deep learning is a type of artificial intelligence (AI) that uses algorithms to analyze and learn data to draw output similar to the way humans do. Deep learning can leverage both supervised and unsupervised learning using artificial neural networks (ANNs). In deep learning, a set of outputs is generated from the input layers using a feedforward ANN called an MLP. The MLP utilizes backpropagation to feed the errors from the outputs back into the layers to compute one layer at a time and iterates until the model has learned the patterns and relationships in the input data to arrive at a specific output.

Feature learning is a set of techniques where the machine uses raw data to derive the characteristics of a class in the data to derive a specific task at hand. Deep learning models use feature learning efficiently to learn complex, redundant, and variable input data and classify the specified task. Thus, it eliminates the need for manual feature engineering...