TFLearn is a deep learning library based on TensorFlow that provides a high-level API for implementing deep neural networks. It features an easy-to-use and understandable high-level API, fast prototyping capabilities, complete TensorFlow transparency, and support for the latest deep learning techniques. TFLearn supports models such as convolutional networks, LSTMs, bidirectional RNNs, batch normalization, PReLU, residual networks, and generative networks. It can be used for tasks like image classification and sequence generation.