Inception Model v3: Evolution, Architecture, Benefits & Case Study

This presentation provides an in-depth overview of Inception V3, a significant milestone in deep learning architecture. It explores the progression of Inception models, focusing on V3's modular innovations like Factorized Convolutions and Batch Normalization, which enhance accuracy and efficiency. The session highlights its benefits, including real-world applications in computer vision, and analyses case studies like ImageNet performance. Finally, it concludes with a discussion on its impact,...