Understanding CNN Architecture: Structure and Components

In this video, we will understand the complete CNN Architecture. A CNN architecture represents the design of the CNN. CNN architecture consists of Convolutional Layers, Pooling Layers, and fully connected layers.

In previous videos of this playlist, we have already covered the details behind the convolutional operation, pooling operation, and fully connected layers. Now its time to put all those tiny pieces together and construct an entire CNN architecture.

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Timestamp:
0:00 Intro
0:56 Convolutional Layer
2:30 CNN Architecture
8:45 CNN vs ANN
9:47 Implementation Challenges
11:58 End

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Follow my entire playlist on Convolutional Neural Network (CNN) :

📕 CNN Playlist: https://www.youtube.com/watch?v=E5Z7FQp7AQQ&list=PLuhqtP7jdD8CD6rOWy20INGM44kULvrHu&t=0s

At the end of some videos, you will also find quizzes 📑 that can help you to understand the concept and retain your learning.

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📕 Which Cost Function to use? : https://www.youtube.com/watch?v=NJpABYQB9PI

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✔ Complete Neural Network Playlist: https://www.youtube.com/watch?v=mlk0rddP3L4&list=PLuhqtP7jdD8CftMk831qdE8BlIteSaNzD&t=0s

✔ Complete Logistic Regression Playlist: https://www.youtube.com/watch?v=U1omz0B9FTw&list=PLuhqtP7jdD8Chy7QIo5U0zzKP8-emLdny&t=0s

✔ Complete Linear Regression Playlist: https://www.youtube.com/watch?v=nwD5U2WxTdk&list=PLuhqtP7jdD8AFocJuxC6_Zz0HepAWL9cF&t=0s

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