Visualizing and understanding the mathematics behind convolutional neural networks, layer by layer. We are using a model pretrained on the mnist dataset.

X:   / far1din_  
Github: https://github.com/far1din

Manim code: https://github.com/far1din/manim/blob...

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
Background music: https://pixabay.com/users/balancebay...

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