Can anybody help me understand what is those params and from where they came?
and also this expression
L1_num_params = 2 * 3 + 3 # W1 parameters + b1 parameters
L2_num_params = 3 * 1 + 1 # W2 parameters + b2 parameters
I’m unable to understand from where they came and what do they signify?
It’s provided in the comment in the notebook. L1 params is the count of trainable parameters in the first layer, which has W_1 of shape (2,3) and b_1 shape (1,3). 2 is the number of inputs, 3 is the number of nodes. Similar idea for W_2 and b_2, but constrained by the shape of the previous layer (3) and the shape of the output (1).
