Machine intelligence for precision oncology

Figure 2 A neural network in machine learning. Neural network is a set of machine-based learning algorithms, and it comprises an input layer (red circles), a hidden layer of interconnected nodes (blue circles), and output layer (green circle). The function of a neural network is to extract and process features from labeled datasets and perform classification tasks. A representative hidden layer of interconnected nodes (blue circles) is shown. A deep learning node (blue circle) is a computational unit that combines input data with weights (assigned significance) and generate an output layer. For deep learning, a neural network contains more than three hidden layers.