Update AlphaS2S.py

AlphaS2S.py

@@ -207,7 +207,7 @@ class Transformer(tf.keras.Model):
         self.dec_pos_embedding = layers.Embedding(max_len, d_model)
         self.enc_layers = [EncoderBlock(d_model, num_heads, dff, dropout) for _ in range(num_layers)]
         self.dec_layers = [DecoderBlock(d_model, num_heads, dff, dropout) for _ in range(num_layers)]
-        self.final_layer = layers.Dense(target_vocab_size)
+        self.final_layer = layers.Dense(target_vocab_size, use_bias=False)
     def call(self, inputs, training=False):
         enc_inputs = inputs["enc_inputs"]
         dec_inputs = inputs["dec_inputs"]