CAI 2200 — INTRODUCTION TO PRACTICAL DEEP LEARNING

3 credits · 3 hours

Deep learning has powered many advances in machine learning by enabling computers to learn from large amounts of data. This course introduces deep learning concepts in a way that allows students to quickly apply them to real-world problems. Students will explore various types of neural networks and how they are used to solve tasks involving text and images. Through a mix of instruction and hands-on exercises, students will learn how to build deep learning models and apply them to practical problems in areas such as language understanding and image recognition.

Prerequisites: CAI 2000, COP 1000

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