|
795 | 795 | },
|
796 | 796 | {
|
797 | 797 | "cell_type": "code",
|
798 |
| - "execution_count": 20, |
| 798 | + "execution_count": 25, |
799 | 799 | "metadata": {},
|
800 | 800 | "outputs": [],
|
801 | 801 | "source": [
|
802 | 802 | "# create title\n",
|
803 | 803 | "\n",
|
804 |
| - "l = widgets.Text(value=' Activation Function Demo, John Eric McCarthy II, Undergraduate Student, The University of Texas at Austin',\n", |
| 804 | + "l = widgets.Text(value=' Artificial Neural Networks Activation Function Demo, John Eric McCarthy II and Michael Pyrcz, The University of Texas at Austin',\n", |
805 | 805 | " layout=Layout(width='950px', height='30px'))\n",
|
806 | 806 | "\n",
|
807 | 807 | "# create slider for each activation function\n",
|
|
923 | 923 | },
|
924 | 924 | {
|
925 | 925 | "cell_type": "code",
|
926 |
| - "execution_count": 22, |
| 926 | + "execution_count": 26, |
927 | 927 | "metadata": {},
|
928 | 928 | "outputs": [
|
929 | 929 | {
|
930 | 930 | "data": {
|
931 | 931 | "application/vnd.jupyter.widget-view+json": {
|
932 |
| - "model_id": "0611aa9a79f74dcd83e5b97e43d4fd4e", |
| 932 | + "model_id": "f0f6ac0996a649f981a30bbda3de5222", |
933 | 933 | "version_major": 2,
|
934 | 934 | "version_minor": 0
|
935 | 935 | },
|
936 | 936 | "text/plain": [
|
937 |
| - "VBox(children=(Text(value=' Activation Function Demo, John Eric McC…" |
| 937 | + "VBox(children=(Text(value=' Artificial Neural Networks Activation Function Demo…" |
938 | 938 | ]
|
939 | 939 | },
|
940 | 940 | "metadata": {},
|
|
970 | 970 | },
|
971 | 971 | {
|
972 | 972 | "cell_type": "code",
|
973 |
| - "execution_count": 23, |
| 973 | + "execution_count": 31, |
974 | 974 | "metadata": {},
|
975 | 975 | "outputs": [],
|
976 | 976 | "source": [
|
977 | 977 | "# create title\n",
|
978 | 978 | "\n",
|
979 |
| - "l = widgets.Text(value=' Interactive ANN Demo, John Eric McCarthy II, Undergraduate Student, The University of Texas at Austin',\n", |
| 979 | + "l = widgets.Text(value=' Simple Artificial Neural Network Demo, John Eric McCarthy II and Michael Pyrcz, The University of Texas at Austin',\n", |
980 | 980 | " layout=Layout(width='950px', height='30px'))\n",
|
981 | 981 | "\n",
|
982 | 982 | "# create dropdown menu\n",
|
|
1092 | 1092 | },
|
1093 | 1093 | {
|
1094 | 1094 | "cell_type": "code",
|
1095 |
| - "execution_count": 25, |
| 1095 | + "execution_count": 32, |
1096 | 1096 | "metadata": {},
|
1097 | 1097 | "outputs": [
|
1098 | 1098 | {
|
1099 | 1099 | "data": {
|
1100 | 1100 | "application/vnd.jupyter.widget-view+json": {
|
1101 |
| - "model_id": "a8b038ffd42546d29570979edf0b7a9a", |
| 1101 | + "model_id": "66fe1457dd9648d29bad99c00d8fee0d", |
1102 | 1102 | "version_major": 2,
|
1103 | 1103 | "version_minor": 0
|
1104 | 1104 | },
|
1105 | 1105 | "text/plain": [
|
1106 |
| - "Text(value=' Interactive ANN Demo, John Eric McCarthy II, Undergrad…" |
| 1106 | + "Text(value=' Simple Artificial Neural Network Demo, John Eric McCarthy II a…" |
1107 | 1107 | ]
|
1108 | 1108 | },
|
1109 | 1109 | "metadata": {},
|
|
1112 | 1112 | {
|
1113 | 1113 | "data": {
|
1114 | 1114 | "application/vnd.jupyter.widget-view+json": {
|
1115 |
| - "model_id": "d183668e1f2e4f73b9282090aaa3f0f6", |
| 1115 | + "model_id": "25fe8dda90594704b8d192c5c4f2f7d5", |
1116 | 1116 | "version_major": 2,
|
1117 | 1117 | "version_minor": 0
|
1118 | 1118 | },
|
1119 | 1119 | "text/plain": [
|
1120 |
| - "HBox(children=(HBox(children=(Dropdown(description='Act. Funtion:', index=1, layout=Layout(height='30px', widt…" |
| 1120 | + "HBox(children=(HBox(children=(Dropdown(description='Act. Funtion:', index=2, layout=Layout(height='30px', widt…" |
1121 | 1121 | ]
|
1122 | 1122 | },
|
1123 | 1123 | "metadata": {},
|
|
1126 | 1126 | {
|
1127 | 1127 | "data": {
|
1128 | 1128 | "application/vnd.jupyter.widget-view+json": {
|
1129 |
| - "model_id": "d2f85264c94e4da39221b9273870e6df", |
| 1129 | + "model_id": "d1ba988f064f4c528a10672acf56fbee", |
1130 | 1130 | "version_major": 2,
|
1131 | 1131 | "version_minor": 0
|
1132 | 1132 | },
|
1133 | 1133 | "text/plain": [
|
1134 |
| - "HBox(children=(Output(outputs=({'output_type': 'display_data', 'data': {'text/plain': '<Figure size 1080x360 w…" |
| 1134 | + "HBox(children=(Output(), Output(outputs=({'output_type': 'display_data', 'data': {'text/plain': '<Figure size …" |
1135 | 1135 | ]
|
1136 | 1136 | },
|
1137 | 1137 | "metadata": {},
|
|
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