8 Answer the following Questions from CNNs ANNs (Max 4 lines) (4 x 5 20) 1 Calculate Hinge loss for Y train 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 Y predicted 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 II How many weights are associated with a Convolutional Neuron (in context of filter size) What is the output shape of Convolutional Neuron III Why to use multiple Convolutional Neurons IV What is the reason that Convolution Neural Networks are employed for images in spite of Flatten() followed by Multi Layer Perceptron Write at least 2 motivations 8 Answer the following Questions from CNNs ANNs (Max 4 lines) (4 x 5 20) 1 Calculate Hinge loss for Y train 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 Y predicted 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 II How many weights are associated with a Convolutional Neuron (in context of filter size) What is the output shape of Convolutional Neuron III Why to use multiple Convolutional Neurons IV What is the reason that Convolution Neural Networks are employed for images in spite of Flatten() followed by Multi Layer Perceptron Write at least 2 motivations

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8  Answer the following Questions from CNNs   ANNs  (Max  4 lines) (4 x 5   20) 1  Calculate Hinge loss for Y train   1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1  Y predicted   1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1  II  How many weights are associated with a Convolutional Neuron   (in context of filter size) What is the output shape of Convolutional Neuron  III  Why to use multiple Convolutional Neurons   IV  What is the reason that Convolution Neural Networks are employed for images in spite of Flatten() followed by Multi Layer Perceptron   Write at least 2 motivations  8  Answer the following Questions from CNNs   ANNs  (Max  4 lines) (4 x 5   20) 1  Calculate Hinge loss for Y train   1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1  Y predicted   1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1  II  How many weights are associated with a Convolutional Neuron   (in context of filter size) What is the output shape of Convolutional Neuron  III  Why to use multiple Convolutional Neurons   IV  What is the reason that Convolution Neural Networks are employed for images in spite of Flatten() followed by Multi Layer Perceptron   Write at least 2 motivations

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8. Answer the following Questions from CNNs & ANNs. (Max. 4 lines) (4 x 5 = 20) 1. Calculate Hinge loss for Y_train= [1,-1,-1,-1, 1,

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