Operations in Convolutional Neural Networks | Convolution, Pooling and Fully Connected Layer

Learn about the steps involved in CNNs after an image is transformed into a pixel matrix. The pixel matrix goes through convolutional layer which extracts detailed features, then an activation functions is applied on it to convert the matrix into smaller matrix with important features. Then the fully connected layer is a neural network which does the decision making.

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