CNN Model Architecture Explained | Convolutional Neural Networks | Deep Learning
Convolutional Neural Networks (CNNs) | CNN Model Architecture
In this video, we dive deep into two fundamental concepts that make CNNs powerful for image processing: local connectivity and parameter sharing.
📌 In this video, we break down the CNN architecture, explaining its key components—convolutions, pooling layers, activation functions, fully connected layers, and more.
🔹 How CNNs work step by step
🔹 Understanding Convolution, Filters, and Feature Maps
🔹 Role of Pooling Layers in CNNs
🔹 Why CNNs outperform traditional neural networks for images
This is the 6th video in our CNN series! Make sure to check out the previous videos to build a solid understanding of CNNs.
CNN Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfT7yPUp2mi-UTmTJlBV1nzf
Watch our other playlists here :
🚀 Agentic AI Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfSzzfwTa_E6Jt76Kq6aVNZQ
Deep Learning with PyTorch Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfRMjkzgzOVJZqVhvLk1gj9Q
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 #PoolingLayer #CNNArchitecture #CNNForwardPropagation #CNNBackwardPropagation
Time breaks:
0:00 Intro.
0:20 Convolution operation
1:58 CNN architecture
3:01 Feature map shape
4:57 Fully connected layer
6:51 need for pooling layer
7:48 Next steps
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
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