Introduction to Convolution & Pooling Layer in CNN: Part-2 (Bangla)

Опубликовано: 05 Февраль 2025
на канале: Machine Learning Talks & Tips

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Nowadays, Deep Convolutional Neural Network (also called ConvNet) leverage spatial information and are therefore very well suited for image classification. A CNN mainly comprised of three layers namely convolutional layer, pooling layer and fully connected layer. These three layers can be repeatedly used to form a deep CNN architecture shown in Fig. 1. A particular organization of these layers begins with input layer and finish up with output layer. Following subsections contains description of these layers.

playlist :    • Deep Learning with Keras  (Bangla)

CNN: https://jahidme.github.io/cnn/2020/04...

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