The Deep Learning Architecture you Must Know | AlexNet Explained !

Paper in a Pod · Beginner ·📄 Research Papers Explained ·12mo ago
Hey everyone, In this video, we break down the 2012 breakthrough that reshaped computer vision and kicked off the deep learning era which then paved the way for modern Artificial Intelligence. We’ll explore how convolutional neural networks (CNNs) work, why AlexNet outperformed traditional image classification methods, and the role of GPUs in making deep learning practical. We talked about key concepts like convolutional layers, ReLU activation, dropout regularization, and how AlexNet paved the way for models like VGG, ResNet, and modern Transformers. Whether you're a beginner looking to und…
Watch on YouTube ↗ (saves to browser)

Chapters (18)

Introduction
0:20 Meet the Researchers Behind AlexNet
0:54 Goal of this video
1:27 Recap: Convolutions
3:09 The AlexNET Architecture
4:21 Data preprocessing technique
5:08 Note on Receptive field
6:14 Overlapping Pooling
6:30 Optimizer
7:16 Activation
7:37 Standardization
7:56 RGB filters
8:31 Dropout
8:57 Parameters scope
9:53 Distributed training using GPU
10:43 Results
13:27 Conclusion
13:47 Short Code walkthrough
The Secret Spy Tech Inside Every Credit Card
Next Up
The Secret Spy Tech Inside Every Credit Card
Veritasium