let v0 = 0
let v1 = 0.40978399*(0.616*u + 0.291*v)
let v2 = if 0 > v1 then 0 else v1
let v3 = 0
let v4 = 0.377928*(0.261*u + 0.468*v)
let v5 = if 0 > v4 then 0 else v4... // inputs: u, v
// --- hidden layer 1 (3 neurons) ---
let v0 = 0.616*u + 0.291*v - 0.135
let v1 = if 0 > v0 then 0 else v0
let v2 = -0.482*u + 0.735*v + 0.044
let v3 = if 0 > v2 then 0 else v2
let v4 = 0.261*u - 0.553*v + 0.310
let v5 = if 0 > v4 then 0 else v4
// --- hidden layer 2 (2 neurons) ---
let v6 = 0.410*v1 - 0.378*v3 + 0.528*v5 + 0.091
let v7 = if 0 > v6 then 0 else v6
let v8 = -0.194*v1 + 0.617*v3 - 0.291*v5 - 0.058
let v9 = if 0 > v8 then 0 else v8
// --- output layer (binary classification) ---
let v10 = 0.739*v7 - 0.415*v9 + 0.022
// sigmoid squashing v10 into the range (0, 1)
let out = 1 / (1 + exp(-v10))is there something 'less good' about:
let v1 = if v0 < 0 then 0 else v0
Am I the only one who stutter-parses "0 > value" vs my counterexample?Is Yoda condition somehow better?
Shouldn't we write: Let v1 = max 0 v0