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colab-playground/tf-demo.ipynb

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@@ -4,7 +4,7 @@
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"metadata": {
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"colab": {
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"provenance": [],
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"authorship_tag": "ABX9TyNTldFSpzuKRRHsnd55P/V9",
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"authorship_tag": "ABX9TyOosOaEUSAErnOHtLT/M4vB",
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"include_colab_link": true
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},
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"kernelspec": {
@@ -28,13 +28,13 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "vXybH_yceYG9",
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"outputId": "2837531a-7550-45ce-f5ee-05324a11ed69"
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"id": "icDnYDhCguWA",
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"outputId": "19f16527-5eb9-493b-bc69-e02abfbe0962"
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},
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"outputs": [
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{
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"Cloning into 'models'...\n",
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"remote: Enumerating objects: 102123, done.\u001b[K\n",
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"remote: Counting objects: 100% (257/257), done.\u001b[K\n",
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"remote: Compressing objects: 100% (134/134), done.\u001b[K\n",
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"remote: Total 102123 (delta 171), reused 123 (delta 123), pack-reused 101866 (from 3)\u001b[K\n",
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"Receiving objects: 100% (102123/102123), 629.39 MiB | 36.58 MiB/s, done.\n",
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"Resolving deltas: 100% (72773/72773), done.\n"
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"remote: Compressing objects: 100% (132/132), done.\u001b[K\n",
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"remote: Total 102123 (delta 172), reused 125 (delta 125), pack-reused 101866 (from 3)\u001b[K\n",
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"Receiving objects: 100% (102123/102123), 629.39 MiB | 26.46 MiB/s, done.\n",
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"Resolving deltas: 100% (72763/72763), done.\n"
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]
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}
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],
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "Ogsz_XV0eo3p",
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"outputId": "efd0dae1-8d08-46c1-ad19-fef0acdd85a0"
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"id": "IVGsnvB0g9rO",
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"outputId": "32fcb4ea-558e-4ea6-ad2b-9e98b0684867"
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},
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"execution_count": 2,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"cell_type": "code",
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"source": [
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"import tensorflow as tf\n",
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"print(\"Tensorflow version:\", tf.__version__)"
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"print(\"Tensorflow version\",tf.__version__)"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "guGNF5JrfOau",
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"outputId": "fceb962c-7d02-42e3-d998-796dd371d74f"
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"id": "kmQuUrsThdsK",
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"outputId": "43585332-1bf7-4395-e895-0d946efc52b7"
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},
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"execution_count": 3,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Tensorflow version: 2.18.0\n"
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"Tensorflow version 2.18.0\n"
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]
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}
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]

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