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