This workshop explores how convolutional and recurrent neural networks can be combined to generate effective descriptions of content within images and video clips.

Learn how to train a network using TensorFlow and the Microsoft Common Objects in Context (COCO) dataset to generate captions from images and video by:

• Implementing deep learning workflows like image segmentation and text generation

• Comparing and contrasting data types, workflows, and frameworks

• Combining computer vision and natural language processing

Upon completion, you’ll be able to solve deep learning problems that require multiple types of data inputs.

Prerequisites: Familiarity with basic Python (functions and variables); prior experience training neural networks.

Technologies: TensorFlow