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sayakpaulsayakpaul
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added acknowledgement
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‎neural_structured_learning/examples/notebooks/graph_keras_cnn_flowers.ipynb‎

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"provenance": [],
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"collapsed_sections": [],
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"machine_shape": "hm",
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"authorship_tag": "ABX9TyNA3ll3uX2gKSYAufoNcN5Q"
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"authorship_tag": "ABX9TyOg+5is5uvaVkxpERB+P/YF"
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},
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"kernelspec": {
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"name": "python3",
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"cell_type": "code",
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"metadata": {
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"id": "uVnjPmOaQlnH",
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"outputId": "5c4dee17-ba2e-4e81-d42b-feae4f19c929",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputId": "5c4dee17-ba2e-4e81-d42b-feae4f19c929"
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},
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"source": [
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"!pip install --quiet neural-structured-learning\n",
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"cell_type": "code",
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"metadata": {
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"id": "OpLo-U08i3PX",
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"outputId": "871b49f1-6349-4acb-baa0-02db4300caa2",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputId": "871b49f1-6349-4acb-baa0-02db4300caa2"
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},
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"source": [
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"from sklearn.random_projection import gaussian_random_matrix\n",
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"cell_type": "code",
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"metadata": {
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"id": "ntzN4Am1i5-U",
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"outputId": "4d0d8e41-5cf9-4d88-f7dc-b6de79e61e38",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputId": "4d0d8e41-5cf9-4d88-f7dc-b6de79e61e38"
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},
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"source": [
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"train_ds, validation_ds = tfds.load(\n",
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"cell_type": "code",
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"metadata": {
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"id": "K7ZHPYrBjjYl",
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"outputId": "1e6bb915-0ac5-4f68-be6e-96dadc11f89b",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 572
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}
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},
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"outputId": "1e6bb915-0ac5-4f68-be6e-96dadc11f89b"
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},
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"source": [
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"plt.figure(figsize=(10, 10))\n",
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"cell_type": "code",
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"metadata": {
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"id": "WsPVr-3WjrUi",
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"outputId": "7e2cd39c-193a-474a-f7e9-3fbbb5832334",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputId": "7e2cd39c-193a-474a-f7e9-3fbbb5832334"
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},
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"source": [
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"num_train_examples = tf.data.experimental.cardinality(train_ds)\n",
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"cell_type": "code",
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"metadata": {
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"id": "f_-XRns3maF5",
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"outputId": "85676659-5a3c-4b5e-facf-5bb28dfc6795",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputId": "85676659-5a3c-4b5e-facf-5bb28dfc6795"
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},
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"source": [
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"feature_extractor = create_feature_extractor_model()\n",
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"cell_type": "code",
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"metadata": {
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"id": "FAIhVW6InktB",
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"outputId": "80093f18-24cd-4245-a3d5-fcc942dc4ab3",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputId": "80093f18-24cd-4245-a3d5-fcc942dc4ab3"
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},
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"source": [
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"def _int64_feature(value):\n",
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"cell_type": "code",
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"metadata": {
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"id": "ob9GwDWOy4vt",
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"outputId": "a6c4b80d-de1a-4175-a2da-c83b1bff08f4",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputId": "a6c4b80d-de1a-4175-a2da-c83b1bff08f4"
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},
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"source": [
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"!wc -l flowers_graph_70.tsv"
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"cell_type": "code",
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"metadata": {
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"id": "dZeyYg1Rvg8W",
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"outputId": "a6b1664a-b3cd-4a60-84d4-85c10cf200ee",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputId": "a6b1664a-b3cd-4a60-84d4-85c10cf200ee"
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},
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"source": [
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"!ls -lh *_data.tfr"
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"cell_type": "code",
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"metadata": {
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"id": "Z4mGjVLw3jNc",
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"outputId": "0fa10c24-9ed2-4b5b-e13d-1ec3f75f5187",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputId": "0fa10c24-9ed2-4b5b-e13d-1ec3f75f5187"
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},
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"source": [
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"def make_cnn_model():\n",
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"cell_type": "code",
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"metadata": {
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"id": "gSUYa1UL5rA4",
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"outputId": "0c670fd7-7349-4963-eaa7-51328c7ee49d",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputId": "0c670fd7-7349-4963-eaa7-51328c7ee49d"
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},
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"source": [
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"history = model.fit(\n",
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"cell_type": "code",
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"metadata": {
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"id": "E9CXstqo5zjW",
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"outputId": "03dc1dbb-a5af-4261-d616-97b89a379808",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 295
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}
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},
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"outputId": "03dc1dbb-a5af-4261-d616-97b89a379808"
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},
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"source": [
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"history_dict = history.history\n",
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"cell_type": "code",
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"metadata": {
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"id": "8zl_bCYy68lT",
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"outputId": "7e0616c9-b5a0-4a2e-bf79-702af9b5576e",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 295
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}
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},
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"outputId": "7e0616c9-b5a0-4a2e-bf79-702af9b5576e"
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},
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"source": [
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"plt.clf() # clear figure\n",
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"cell_type": "code",
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"metadata": {
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"id": "RLRxxV4G7McQ",
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"outputId": "1a8ea43f-6af0-4249-f070-12a7d11f8947",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "1a8ea43f-6af0-4249-f070-12a7d11f8947"
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"source": [
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"graph_reg_history = graph_reg_model.fit(\n",
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"cell_type": "code",
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"metadata": {
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"id": "84ffIFmd7PMz",
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"outputId": "2a497a35-633d-43bd-b196-a6012dfa5d52",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 295
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}
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},
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"outputId": "2a497a35-633d-43bd-b196-a6012dfa5d52"
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},
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"source": [
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"graph_reg_history_dict = graph_reg_history.history\n",
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"cell_type": "code",
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"metadata": {
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"id": "5EJUJJja7lEB",
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"outputId": "36594560-1a09-4225-b662-3df3d59755b0",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 295
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}
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},
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"outputId": "36594560-1a09-4225-b662-3df3d59755b0"
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"source": [
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"plt.clf() # clear figure\n",
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"cell_type": "code",
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"metadata": {
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"id": "2QeTI1q98YOR",
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"outputId": "764ec1ec-f279-4437-b3b9-4ddba2582c12",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputId": "764ec1ec-f279-4437-b3b9-4ddba2582c12"
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},
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"source": [
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"sample = next(iter(train_dataset))\n",
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"cell_type": "code",
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"metadata": {
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"id": "k2M-OUoH83KQ",
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"outputId": "d01dac92-0c9c-470f-db42-bdab1fca300e",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 376
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}
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},
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"outputId": "d01dac92-0c9c-470f-db42-bdab1fca300e"
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"source": [
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"plt.figure(figsize=(20, 20))\n",
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"users to experiment further by varying hyperparameters, the amount of\n",
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"supervision, and by using different model architectures."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "AV6RysJlm-D0"
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},
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"source": [
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"## Acknowledgements\n",
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"\n",
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"Thanks to [Arjun Gopalan](https://research.google/people/ArjunGopalan/) from Google. Without his guidance, this tutorial would have been possible."
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]
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}
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]
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}

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