diff --git a/ml/pc/exercises/image_classification_part1.ipynb b/ml/pc/exercises/image_classification_part1.ipynb index 369acd4..940e7fb 100644 --- a/ml/pc/exercises/image_classification_part1.ipynb +++ b/ml/pc/exercises/image_classification_part1.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -85,7 +85,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -100,7 +100,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -129,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -166,7 +166,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -194,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -222,7 +222,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -255,7 +255,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -302,7 +302,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -316,7 +316,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -356,7 +356,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -392,7 +392,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -427,7 +427,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -460,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -503,7 +503,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -536,7 +536,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -627,7 +627,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -640,7 +640,7 @@ "acc = history.history['acc']\n", "val_acc = history.history['val_acc']\n", "\n", - "# Retrieve a list of list results on training and validation data\n", + "# Retrieve a list of loss results on training and validation data\n", "# sets for each training epoch\n", "loss = history.history['loss']\n", "val_loss = history.history['val_loss']\n", @@ -691,7 +691,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", @@ -714,8 +714,18 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3.10.7 64-bit", + "language": "python", "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.10.7" + }, + "vscode": { + "interpreter": { + "hash": "e7370f93d1d0cde622a1f8e1c04877d8463912d04d973331ad4851f04de6915a" + } } }, "nbformat": 4, diff --git a/ml/pc/exercises/image_classification_part2.ipynb b/ml/pc/exercises/image_classification_part2.ipynb index d46bcd9..f4e45da 100644 --- a/ml/pc/exercises/image_classification_part2.ipynb +++ b/ml/pc/exercises/image_classification_part2.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -79,7 +79,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -155,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -208,7 +208,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -258,7 +258,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -345,7 +345,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -414,7 +414,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "cellView": "code", "colab": { @@ -446,7 +446,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "cellView": "code", "colab": { @@ -493,7 +493,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -511,7 +511,7 @@ "acc = history.history['acc']\n", "val_acc = history.history['val_acc']\n", "\n", - "# Retrieve a list of list results on training and validation data\n", + "# Retrieve a list of loss results on training and validation data\n", "# sets for each training epoch\n", "loss = history.history['loss']\n", "val_loss = history.history['val_loss']\n", @@ -556,7 +556,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -588,8 +588,18 @@ "views": {} }, "kernelspec": { - "name": "python3", - "display_name": "Python 3" + "display_name": "Python 3.10.7 64-bit", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.10.7" + }, + "vscode": { + "interpreter": { + "hash": "e7370f93d1d0cde622a1f8e1c04877d8463912d04d973331ad4851f04de6915a" + } } }, "nbformat": 4, diff --git a/ml/pc/exercises/image_classification_part3.ipynb b/ml/pc/exercises/image_classification_part3.ipynb index 5a9a74e..07ccc70 100644 --- a/ml/pc/exercises/image_classification_part3.ipynb +++ b/ml/pc/exercises/image_classification_part3.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -21,7 +21,10 @@ } }, "colab_type": "code", - "id": "IhmPj1VVCfWb" + "id": "IhmPj1VVCfWb", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -74,7 +77,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -83,7 +86,10 @@ } }, "colab_type": "code", - "id": "1xJZ5glPPCRz" + "id": "1xJZ5glPPCRz", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -105,7 +111,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -114,7 +120,10 @@ } }, "colab_type": "code", - "id": "KMrbllgAFipZ" + "id": "KMrbllgAFipZ", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -125,7 +134,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -134,7 +143,10 @@ } }, "colab_type": "code", - "id": "UnRiGBfOF8rq" + "id": "UnRiGBfOF8rq", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -168,7 +180,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -177,7 +189,10 @@ } }, "colab_type": "code", - "id": "a38rB3lyedcB" + "id": "a38rB3lyedcB", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -197,7 +212,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -206,7 +221,10 @@ } }, "colab_type": "code", - "id": "Cj4rXshqbQlS" + "id": "Cj4rXshqbQlS", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -227,7 +245,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -236,7 +254,10 @@ } }, "colab_type": "code", - "id": "BMXb913pbvFg" + "id": "BMXb913pbvFg", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -280,7 +301,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -289,7 +310,10 @@ } }, "colab_type": "code", - "id": "O4s8HckqGlnb" + "id": "O4s8HckqGlnb", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -300,7 +324,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -309,7 +333,10 @@ } }, "colab_type": "code", - "id": "Fl9XXARuV_eg" + "id": "Fl9XXARuV_eg", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -383,7 +410,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -392,7 +419,10 @@ } }, "colab_type": "code", - "id": "Blhq2MAUeyGA" + "id": "Blhq2MAUeyGA", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -434,7 +464,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -443,7 +473,10 @@ } }, "colab_type": "code", - "id": "_l_J4S0Z2rgg" + "id": "_l_J4S0Z2rgg", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -479,7 +512,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -488,7 +521,10 @@ } }, "colab_type": "code", - "id": "o_GgDGG4Y_hJ" + "id": "o_GgDGG4Y_hJ", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -515,7 +551,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -524,7 +560,10 @@ } }, "colab_type": "code", - "id": "1FtxcKjJfxL9" + "id": "1FtxcKjJfxL9", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [ @@ -538,7 +577,7 @@ "acc = history.history['acc']\n", "val_acc = history.history['val_acc']\n", "\n", - "# Retrieve a list of list results on training and validation data\n", + "# Retrieve a list of loss results on training and validation data\n", "# sets for each training epoch\n", "loss = history.history['loss']\n", "val_loss = history.history['val_loss']\n", @@ -583,7 +622,7 @@ }, { "cell_type": "code", - "execution_count": 0, + "execution_count": null, "metadata": { "colab": { "autoexec": { @@ -592,7 +631,10 @@ } }, "colab_type": "code", - "id": "-hUmyohAyBzh" + "id": "-hUmyohAyBzh", + "vscode": { + "languageId": "python" + } }, "outputs": [], "source": [