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Convolutional Neural Networks (CNNs) – From Intuition to Complete Breakdown & Code Example!

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Mar 3, 2026
18:37

Chapter 9 - Convolutional Neural Networks! In this chapter we will learn about CNNs as one of the most leading architecture in modern image processing with deep neural networks. Parts: 00:00-01:40 - Why Aren't MLPs Suitable for Images? 01:40-04:03 - Pattern Detection - 1D Convolution 04:03-05:55 - 2D Convolution 05:55-08:26 - Convolutional Layer 08:26-09:18 - Padding 09:18-10:28 - Stride 10:28-12:08 - The Receptive Field & Dilation 12:08-13:01 - Pooling Layer 13:01-13:35 - Full CNN 13:35-14:34 - Parameter Comparison 14:34-18:38 - Code Example You can find the notebook in the video in the following link: https://github.com/HallOfNN-CodeFactory/FoundationOfDeepLearning/ Please feel free to leave comments and ask everything, hope you find this video helpful! #deeplearning #convolutionalneuralnetworks #artificialneuralnetwork #machinelearning #regularization #artificialintelligence #convolutionalneuralnetworks #deeplearning #education #mlp #multilayered #perceptron #convolution #poolinglayer #padding #stride #codeexamples

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Convolutional Neural Networks (CNNs) – From Intuition to Complete Breakdown & Code Example! | NatokHD