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Table 2 The details of each layer in the model

From: Semi-supervised few-shot learning approach for plant diseases recognition

Layers Output size Parameters Fine-tuning
Input (84, 84, 3) 0
Convolution (84, 84, 64) 1792 Non-trainable
Convolution (84, 84, 64) 36,928 Non-trainable
Max pooling (42, 42, 64) 0
Convolution (42, 42, 128) 73,856 Non-trainable
Convolution (42, 42, 128) 147,584 Non-trainable
Max pooling (21, 21, 128) 0
Convolution (21, 21, 256) 295,168 Non-trainable
Convolution (21, 21, 256) 590,080 Non-trainable
Convolution (21, 21, 256) 590,080 Non-trainable
Global average pool (256) 0
Dense (128) 32,896 Trainable
Dense (N) 128*N + N Trainable