4630405d8134201e03780a9fb74878e6d39763ee,artificial_neural_networks/network.py,Network,_build_ann,#Network#,53

Before Change

    hidden_neurons = 2 * (len(self.inputs) + len(self.languages)) / 3

    self._net = theanets.Classifier([len(self.inputs),
                                     {"size": int(hidden_neurons), "activation": "tanh"},
                                     len(self.languages)])

After Change

        self._net.add(Dense(int(hidden_neurons), activation="tanh"))
        self._net.add(Dense(len(self.languages), activation="softmax"))
        self._net.compile(
            loss="categorical_crossentropy", optimizer=Adam(learning_rate=0.01)
        )

Instances