Normalisierung und Erstellung von Train/Test

1-first-project/ies/NeuralNetwork.ipynb

@@ -3,7 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "bfe7a783",
+   "id": "9f0ddabb",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -16,7 +16,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "c6c356ef",
+   "id": "1e8e6ffb",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -32,7 +32,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "69ae3c7a",
+   "id": "39cf526d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,7 +48,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "e28642ea",
+   "id": "2b169e1f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -67,7 +67,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "6ec561b1",
+   "id": "9a507393",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -89,7 +89,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "e975b7b9",
+   "id": "8d8da08e",
    "metadata": {},
    "outputs": [
     {
@@ -121,7 +121,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "7b7f497c",
+   "id": "700db412",
    "metadata": {},
    "outputs": [
     {
@@ -147,7 +147,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "55f47334",
+   "id": "16cdb8f5",
    "metadata": {},
    "source": [
     "**How to fix this error**:\n",
@@ -160,7 +160,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "7f9bb477",
+   "id": "1f411bea",
    "metadata": {},
    "outputs": [
     {
@@ -647,7 +647,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "5d10cf20",
+   "id": "1a8beb73",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -675,7 +675,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "0e97563e",
+   "id": "0dcd7db2",
    "metadata": {},
    "outputs": [
     {
@@ -703,7 +703,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "2676a564",
+   "id": "3a0e96ac",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -714,7 +714,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "a26a60ff",
+   "id": "d2d8e64d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -724,7 +724,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "39f3ef0e",
+   "id": "77c502cd",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -753,7 +753,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "1fa16a8f",
+   "id": "7235d56c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -769,7 +769,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "eee9d775",
+   "id": "cc983f80",
    "metadata": {},
    "outputs": [
     {
@@ -809,7 +809,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "27ae5c5a",
+   "id": "59d6ebca",
    "metadata": {},
    "outputs": [
     {
@@ -874,7 +874,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "d2b3422e",
+   "id": "f4032731",
    "metadata": {},
    "outputs": [
     {
@@ -946,7 +946,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "453149ff",
+   "id": "e20cb3cd",
    "metadata": {},
    "outputs": [
     {
@@ -989,7 +989,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "dbf863e2",
+   "id": "5f88c9c6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1013,7 +1013,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,