nbfmt

Author: tfdocsbot

site/en/tutorials/text/image_captioning.ipynb

@@ -486,9 +486,7 @@
       "source": [
         "### Image feature extractor\n",
         "\n",
-        "You will use an image model (pretrained on imagenet) to extract the features from each image. The model was trained as an image classifier, but setting `include_top=False` returns the model without the final classification layer, so you can use the last layer of feature-maps:  \n",
-        "\n",
-        "\n"
+        "You will use an image model (pretrained on imagenet) to extract the features from each image. The model was trained as an image classifier, but setting `include_top=False` returns the model without the final classification layer, so you can use the last layer of feature-maps:  \n"
       ]
     },
     {
@@ -1053,8 +1051,6 @@
         "id": "qiRXWwIKNybB"
       },
       "source": [
-        "\n",
-        "\n",
         "The model will be implemented in three main parts: \n",
         "\n",
         "1. Input - The token embedding and positional encoding (`SeqEmbedding`).\n",
@@ -1164,8 +1160,7 @@
         "    attn = self.mha(query=x, value=x,\n",
         "                    use_causal_mask=True)\n",
         "    x = self.add([x, attn])\n",
-        "    return self.layernorm(x)\n",
-        "\n"
+        "    return self.layernorm(x)\n"
       ]
     },
     {
@@ -1305,8 +1300,6 @@
         "id": "6WQD87efena5"
       },
       "source": [
-        "\n",
-        "\n",
         "But there are a few other features you can add to make this work a little better:\n",
         "\n",
         "1. **Handle bad tokens**: The model will be generating text. It should\n",
@@ -1484,8 +1477,7 @@
         "1. Flatten the extracted image features, so they can be input to the decoder layers.\n",
         "2. Look up the token embeddings.\n",
         "3. Run the stack of `DecoderLayer`s, on the image features and text embeddings.\n",
-        "4. Run the output layer to predict the next token at each position.\n",
-        "\n"
+        "4. Run the output layer to predict the next token at each position.\n"
       ]
     },
     {
@@ -2144,8 +2136,6 @@
     "colab": {
       "collapsed_sections": [],
       "name": "image_captioning.ipynb",
-      "private_outputs": true,
-      "provenance": [],
       "toc_visible": true
     },
     "kernelspec": {