Method forward_pass

mla/neuralnet/layers/basic.py:164–169

(self, X)

        self.input_dim = X_shape[2]

    def forward_pass(self, X):
        n_timesteps = X.shape[1]
        X = X.reshape(-1, X.shape[-1])
        y = self.dense.forward_pass(X)
        y = y.reshape((-1, n_timesteps, self.output_dim))
        return y

    def backward_pass(self, delta):
        n_timesteps = delta.shape[1]