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Showing posts with the label Max Pooling Layer

Convolutional Neural Network 1

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  Q1. CNN features Why is convolution neural network taking off quickly in recent times? Choose the correct answer from below: A.      Access to large amount of digitized data B.      Integration of feature extraction within the training process C.       Availability of more computational power D.      All the above Ans: All the above  is the correct answer. Using CNN, we can Access and train our model on a large amount of digitized data Unlike classical image D recognition where you define the image features yourself, CNN takes the image’s raw pixel data, trains the model, then extracts the features automatically for better classification. Using CNN, the number of training parameters is reduced significantly. And due to the availability of more computational power in recent times. The model takes less time to train. Q2. Recognizing a cat For an image recognition problem (recognizing a cat in a photo), which of the f