Deep Learning for Computer Vision & NLP | Columbia University

Dive into the latest deep learning techniques and their applications in computer vision and natural language processing at this graduate-level research class from Columbia University.

Introduction

This graduate level research class focuses on deep learning techniques for vision and natural language processing problems. It gives an overview of the various deep learning models and techniques, and surveys recent advances in the related fields. This course uses Theano as the main programming tool. GPU programming experiences are preferred although not required. Frequent paper presentations and a heavy programming workload are expected.

Highlights

• Covers deep learning techniques for computer vision and natural language processing
• Provides an overview of various deep learning models and recent advancements
• Uses Theano as the main programming tool
• Requires frequent paper presentations and heavy programming workload

Recommendation

This course is recommended for graduate students who are knowledgeable about NLP, computer vision, and/or machine learning, and are fluent in Python and Numpy programming. It offers a deep dive into the latest deep learning techniques and their applications in computer vision and natural language processing.