CNN Forward and Backward Propagation | Math Explained | Deep Learning

Convolutional Neural Networks (CNNs) | Forward and Backward Propagation In this video, you'll learn how Convolutional Neural Networks (CNNs) perform forward and backward propagation during training. We break down the math, the intuition, and the coding concepts in a simple and visual way, perfect for beginners and intermediate learners! 📌 What you will learn: 🔹 CNN architecture 🔹 What is forward propagation in CNNs? 🔹 How back propagation works in convolutional layers 🔹 Derivatives and gradients in CNNs 🔹 Real-world intuition behind filters and feature maps 🔹 Coding insights for PyTorch users This is the 9th video in our CNN series! Make sure to check out the previous videos to build a solid understanding of CNNs. Watch our other playlists here : 🔗 LangChain Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfQOx1N9pyHLGm18HMo-saPv 🤖 Agentic AI Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfSzzfwTa_E6Jt76Kq6aVNZQ 💻 Deep Learning with PyTorch Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfRMjkzgzOVJZqVhvLk1gj9Q 📊 CNN : https://www.youtube.com/playlist?list=PLz6pthWWCdfT7yPUp2mi-UTmTJlBV1nzf 🧮 ML Models from Scratch Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfR5mFMpF39dBuUueQFLZ910 📌 KNN Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfTMLTvWu66dByhn3s_yxf4f 📈 K-Means Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfSsegiIPgqkDNviUpg1ue-6 📌 Python for DS : https://www.youtube.com/playlist?list=PLz6pthWWCdfSBz4hOth7sFNmEm0mUh-yN 🎯 Who is this for? Perfect for beginners and intermediates in deep learning who want a structured and practical approach to building AI models. Whether you're prepping for a data science interview or looking to build your own projects, mastering deep learning algorithms will set a strong foundation for more advanced machine learning techniques. #DeepLearning #CNN #MachineLearning #AI #ComputerVision #ConvolutionalNeuralNetworks #PyTorch #NeuralNetworks #MLP #ImageProcessing #DeepLearningTutorial #ArtificialIntelligence #datascienceprojects #deeplearningprojects #ConvolutionOperation #ComputerVision #ParameterSharing #LocalConnectivity #Pooling #MaxPooling #AveragePooling #MeanPooling #CNNArchitecture #ComputerVision #CNNFullCourse #Backpropagation Time breaks: 00:00 CNN architecture recap. 00:41 Feature map shape. 01:33 Forward Propagation. 02:00 Parameter explosion and imp of pooling. 03:47 Model parameters? 04:43 CNN Back Propagation 05:30 Back prop: Math 10:26 Other parameters to optimize. If you're learning Machine Learning, Deep Learning, or AI, this video will provide you with a solid foundation to implement your own models. Don't forget to hit like, comment, and subscribe to keep learning with me! @SimplifiedAICourse