Lectures related to Software and Data: Introduction

Related lectures (32)

Covers the fundamentals of deep learning, including data, architecture, and ethical considerations in model deployment.

Explores cache memory design, hits, misses, and eviction policies in computer systems, emphasizing spatial and temporal locality.