Small fixes

Author: fchollet

chapter11_part01_introduction.ipynb

@@ -633,7 +633,7 @@
     "text_vectorization = TextVectorization(\n",
     "    ngrams=2,\n",
     "    max_tokens=20000,\n",
-    "    output_mode=\"tf-idf\",\n",
+    "    output_mode=\"tf_idf\",\n",
     ")"
    ]
   },

chapter11_part03_transformer.ipynb

@@ -199,7 +199,7 @@
     "        return self.layernorm_2(proj_input + proj_output)\n",
     "\n",
     "    def get_config(self):\n",
-    "        config = super(TransformerEncoder, self).get_config()\n",
+    "        config = super().get_config()\n",
     "        config.update({\n",
     "            \"embed_dim\": self.embed_dim,\n",
     "            \"num_heads\": self.num_heads,\n",
@@ -319,7 +319,7 @@
     "        return tf.math.not_equal(inputs, 0)\n",
     "\n",
     "    def get_config(self):\n",
-    "        config = super(PositionalEmbedding, self).get_config()\n",
+    "        config = super().get_config()\n",
     "        config.update({\n",
     "            \"output_dim\": self.output_dim,\n",
     "            \"sequence_length\": self.sequence_length,\n",

chapter11_part04_sequence-to-sequence-learning.ipynb

@@ -378,7 +378,7 @@
     "        self.supports_masking = True\n",
     "\n",
     "    def get_config(self):\n",
-    "        config = super(TransformerDecoder, self).get_config()\n",
+    "        config = super().get_config()\n",
     "        config.update({\n",
     "            \"embed_dim\": self.embed_dim,\n",
     "            \"num_heads\": self.num_heads,\n",

chapter12_part01_text-generation.ipynb

@@ -381,7 +381,6 @@
     "    return np.argmax(probas)\n",
     "\n",
     "class TextGenerator(keras.callbacks.Callback):\n",
-    "\n",
     "    def __init__(self,\n",
     "                 prompt,\n",
     "                 generate_length,\n",