Convolutional Neural Network | Introduction, Working, Structure and More
304 بار بازدید -
9 ماه پیش
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Welcome to a comprehensive journey
Welcome to a comprehensive journey into the world of Convolutional Neural Networks (CNNs). In this video, we delve deep into the fundamentals of CNNs, exploring why they are essential, their inner workings, applications across various domains, as well as their strengths and limitations.
We break down the anatomy of a CNN, including Convolutional Layers, Pooling Layers, and Fully Connected Layers. See how filters extract features, and understand their impact on image recognition.
0:00 Introduction to Convolutional Neural Network
0:30 Why do we need CNNs?
1:28 Image to Matrix Conversion
2:11 Convolutional Layer
4:46 Pooling Layer: Max Pooling & Average Pooling
6:34 Fully connected Layer, Flattening
8:21 Applications
8:52 Advantages & Disadvantages
#convolutionalneuralnetwork #deeplearning
We break down the anatomy of a CNN, including Convolutional Layers, Pooling Layers, and Fully Connected Layers. See how filters extract features, and understand their impact on image recognition.
0:00 Introduction to Convolutional Neural Network
0:30 Why do we need CNNs?
1:28 Image to Matrix Conversion
2:11 Convolutional Layer
4:46 Pooling Layer: Max Pooling & Average Pooling
6:34 Fully connected Layer, Flattening
8:21 Applications
8:52 Advantages & Disadvantages
#convolutionalneuralnetwork #deeplearning
9 ماه پیش
در تاریخ 1402/07/07 منتشر شده
است.
304
بـار بازدید شده