def load(self, file_name):
        with open(file_name, "rb") as f:
            self.input_m, \
            self.input_std, \
            old_params, \
            self.n_hidden, \
            self.hidden_activation, \
            self.n_inputs, \
            self.n_outputs, \
            self.weight_l2, \
            self.prev_frames, \
            self.next_frames, \
            self.batch_size, \
            self.amp, \
            self.amp_vec = pickle.load(f)

        self.build_model(0, 0, old_params = old_params)
Loads saved NN.
dataset/ETHPy150Open UFAL-DSG/cloud-asr/cloudasr/worker/vad/tffnn.py/TheanoFFNN.load