Fixed unused weight_init attribute.

Author: MedAymenF

site/en/guide/core/mlp_core.ipynb

@@ -400,8 +400,8 @@
         "    if not self.built:\n",
         "      # Infer the input dimension based on first call\n",
         "      self.in_dim = x.shape[1]\n",
-        "      # Initialize the weights and biases using Xavier scheme\n",
-        "      self.w = tf.Variable(xavier_init(shape=(self.in_dim, self.out_dim)))\n",
+        "      # Initialize the weights and biases\n",
+        "      self.w = tf.Variable(self.weight_init(shape=(self.in_dim, self.out_dim)))\n",
         "      self.b = tf.Variable(tf.zeros(shape=(self.out_dim,)))\n",
         "      self.built = True\n",
         "    # Compute the forward pass\n",