Trainable Parameter: Trainable parameters are those whose value is adjusted/modified during training as per gradient.
How to calculate trainable parameters?
T: Trainable Parameters
P: Previous Neurons(The neurons from the previous layer or input layer)
C: Current Layer Neurons(The neurons from the current layer)
B: Bias(The neurons from this layer)
N: The number of layers, note that the input layer is not a neural network layer.
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