Question: a. Describe Deep model given below: ii. iii. How deep are deep network? What is fully connected layer output? How many filter used in
a. Describe Deep model given below: ii. iii. How deep are deep network? What is fully connected layer output? How many filter used in 2nd Convolutional layer. r *78 16 16 78 16 16 78 1 Convolution Layer 1 Text RELU Layer 1 Non-Text 1*1*216 Fully Connected Layer Pooling Layer 1 (Pool Stride: 4) 2-2 216 Pooling Layer 2 (Pool Stride: 2) 4*4*216 Convolution Layer 2 44-216 RELU Layer 2
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Overall architecture The model appears to be a convolutional neural network CNN with two convolutional layers two pooling layers two fully connected layers and a final output layer Convolutional layers These layers extract features from the input data by convolving it with a set of filters The first convolutional layer ... View full answer
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