Скачать или смотреть Why neural networks are so deep? (AlexNet - Explained)

Let's understand how neural networks became so deep and why they needed to be

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[1 📚] Slides used in the video: https://link.excalidraw.com/p/readonl...
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CHAPTERS
00:00 Introduction
00:15 Timeline of neural network research
01:52 Rise of GPUs and how it helped neural networks
02:18 ImageNet and hot it helped computer vision research
02:56 How AlexNet came to be
04:09 AlexNet architecture and training at a high level
05:53 ReLU activation and how to removes vanishing gradients
08:30 Training on multiple GPUs and how it speeds up performance
10:09 Local Response Normalization to mimic lateral inhibition
14:27 Overlapping pooling
15:15 Why do Deep networks overfit?
15:57 Data Augmentation and how it curbs overfitting
17:02 Dropout and how it curbs overfitting
19:32 Putting it all together
20:24 Quiz Time
21:22 Summary