The Deep Learning test contains an overview of machine learning and deep learning. The test examines reinforcement, supervised, semi-supervised, and unsupervised learning techniques. The test verifies knowledge of the most common neural network types including feedforward, convolutional, recurrent, generative adversarial, and autoencoder neural networks. In addition, the test will measure the knowledge of encoder-decoder architectures and sequence models, along with various types of tuning requirements.