Deep Learning Neural Networks are becoming increasingly popular due to their ability to be used in a variety of technologies, such as speech recognition, face detection, and autonomous cars. These networks are trained using large datasets and multiple layers and iterations to achieve optimal results. Frameworks such as Keras, PyTorch, and TensorFlow make it easier to build, train, validate, and deploy custom deep networks.