Briefly explain the two major steps of CNN i.e, Feature Learning and Classification

Feature Learning deals with the algorithm by learning about the dataset. Components like Convolution, ReLU, and Pooling work for that, with numerous iterations between them. Once the features are known, then classification happens using the Flattening and Full Connection components.


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