Convolutional Neural Networks from Scratch | In-Depth Exploration

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

► SUPPORT THE CHANNEL
➡ Paypal: https://www.paypal.com/donate/?hosted_button_id=K6ER3TW5J32LN

These videos can take several weeks to make. Any donations towards the channel will be highly appreciated! 😄


► SOCIALS
X: https://x.com/far1din_
Github: https://github.com/far1din

Manim code: https://github.com/far1din/manim/blob/main/README.md#convolutional-neural-networks-from-scratch--in-depth

----------- 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-26358719/

#computervision #convolutionalneuralnetwork #ai #neuralnetwork #artificialintelligence #neuralnetworksformachinelearning #neuralnetworksexplained #neuralnetworkstutorial #neuralnetworksdemystified #computervisionandai #animation #animationvideo #mathematics #manim