Training a Convolutional Neural Network (CNN)

Visualizing a convolutional neural network through the training process. Witness the Evolution of a Cutting-Edge Model, From Untrained to Trained, with comparisons at zero, one, five, and 15 Epochs. ► 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#visualizing-convolutional-neural-networks--training-a-cnn ----------- Content ----------- 0:00 - Introduction 01:27 - Convolution (5x5x1) | Layer 1 02:05 - Max Pooling | Layer 1 02:25 - Convolutional (3x3x2) | Layer 2 03:17 - Max Pooling | Layer 2 03:39 - Fully connected output layer | Layer 3 ----------- Contributions ----------- Intro Music: @randomtypebeats7348 Background music: https://pixabay.com/users/balancebay-26358719/ #computervision #convolutionalneuralnetwork #ai #neuralnetwork #artificialintelligence #neuralnetworksexplained #neuralnetworkstutorial #neuralnetworksdemystified #computervisionandai #animation #animationvideo #mathematics #manim #visualization #deeplearning