Dive into an in-depth discussion of the AlexNet architecture, a pioneering convolutional neural network, in this comprehensive video tutorial. Explore the intricacies of the architecture, including its diagram, image filter sizes, mathematical operations, padding techniques, max pooling, fully connected layers, and output structure. Gain practical insights by examining the accompanying code implementation. Follow along as the instructor breaks down each component of AlexNet, providing a thorough understanding of this advanced CNN architecture for deep learning enthusiasts and practitioners.
Alexnet Architecture In-Depth Discussion Along With Code - Deep Learning Advanced CNN
Krish Naik via YouTube
Overview
Syllabus
Introduction
Architecture
Architecture Diagram
Image
Filter Size
Mathematical Operation
Padding
Max pooling
Fully Connected Layer
Output
Alexnet
Code
Taught by
Krish Naik
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