Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
= [] history['validation']['accuracy'] = [] for ephoc in range(ephocs): y_prime = self.predict(x) self.bias -= self.learning_rate * self.derivate_bias(y, y_prime) #Adjust parameters based on learning rate self.theta -= self.learning_rate * self.derivate_params(y, y_prime, x) #Adjust parameters