Cheating at Deep Learning: Quick Prototyping using Keras

Getting satisfactory results from a deep learning model often requires experimentation and fine-tuning. This process can be time-consuming and slow, leading to less than optimal results. In this talk, we'll demonstrate how the high-level Keras library can be used to quickly build, train, and validate deep neural networks for a variety of different tasks, ranging from image analysis to natural language processing.