Visualizing and understanding the mathematics behind convolutional neural networks, layer by layer. We are using a model pretrained on the mnist dataset.
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----------- Content -----------
0:00 - Introduction
00:26 - The Model
01:47 - Convolution on One Channel | Layer 1
05:18 - Max Pooling | Layer 1
06:57 - Convolution on Multiple Channels | Layer 2
10:07 - Max Pooling and Flattening | Layer 2
10:43 - Fully Connected Layer | The Output Layer (Prediction)
----------- Contributions -----------
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Convolutional Neural Networks from Scratch | In Depth
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