There are many types of deep neural networks, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory networks (LSTMs), and each has different properties. For example, recurrent neural networks are deep neural networks in which neurons in higher layers connect back to the neurons in lower layers. Here, we’ll focus on convolutional neural networks, which are computationally more efficient and faster than most other architectures.* They are extremely relevant as they are used for state-of-the-art text translation, image recognition, and many other tasks.