|
2 | 2 | "cells": [ |
3 | 3 | { |
4 | 4 | "cell_type": "code", |
5 | | - "execution_count": 134, |
| 5 | + "execution_count": null, |
6 | 6 | "metadata": {}, |
7 | 7 | "outputs": [], |
8 | 8 | "source": [ |
9 | 9 | "#hide\n", |
10 | | - "!pip install -Uqq fastbook\n", |
| 10 | + "! [ -e /content ] && pip install -Uqq fastai # upgrade fastai on colab\n", |
11 | 11 | "import fastbook\n", |
12 | 12 | "fastbook.setup_book()" |
13 | 13 | ] |
14 | 14 | }, |
15 | 15 | { |
16 | 16 | "cell_type": "code", |
17 | | - "execution_count": 2, |
| 17 | + "execution_count": null, |
18 | 18 | "metadata": {}, |
19 | 19 | "outputs": [], |
20 | 20 | "source": [ |
|
816 | 816 | }, |
817 | 817 | { |
818 | 818 | "cell_type": "code", |
819 | | - "execution_count": 113, |
| 819 | + "execution_count": null, |
820 | 820 | "metadata": {}, |
821 | 821 | "outputs": [], |
822 | 822 | "source": [ |
|
826 | 826 | }, |
827 | 827 | { |
828 | 828 | "cell_type": "code", |
829 | | - "execution_count": 114, |
| 829 | + "execution_count": null, |
830 | 830 | "metadata": {}, |
831 | 831 | "outputs": [ |
832 | 832 | { |
|
840 | 840 | " [ 1.0698, 1.6187]])" |
841 | 841 | ] |
842 | 842 | }, |
843 | | - "execution_count": 114, |
| 843 | + "execution_count": null, |
844 | 844 | "metadata": {}, |
845 | 845 | "output_type": "execute_result" |
846 | 846 | } |
|
859 | 859 | }, |
860 | 860 | { |
861 | 861 | "cell_type": "code", |
862 | | - "execution_count": 115, |
| 862 | + "execution_count": null, |
863 | 863 | "metadata": {}, |
864 | 864 | "outputs": [ |
865 | 865 | { |
|
873 | 873 | " [0.7446, 0.8346]])" |
874 | 874 | ] |
875 | 875 | }, |
876 | | - "execution_count": 115, |
| 876 | + "execution_count": null, |
877 | 877 | "metadata": {}, |
878 | 878 | "output_type": "execute_result" |
879 | 879 | } |
|
895 | 895 | }, |
896 | 896 | { |
897 | 897 | "cell_type": "code", |
898 | | - "execution_count": 116, |
| 898 | + "execution_count": null, |
899 | 899 | "metadata": {}, |
900 | 900 | "outputs": [ |
901 | 901 | { |
|
904 | 904 | "tensor([0.6025, 0.5021, 0.1332, 0.9966, 0.5959, 0.3661])" |
905 | 905 | ] |
906 | 906 | }, |
907 | | - "execution_count": 116, |
| 907 | + "execution_count": null, |
908 | 908 | "metadata": {}, |
909 | 909 | "output_type": "execute_result" |
910 | 910 | } |
|
940 | 940 | }, |
941 | 941 | { |
942 | 942 | "cell_type": "code", |
943 | | - "execution_count": 117, |
| 943 | + "execution_count": null, |
944 | 944 | "metadata": {}, |
945 | 945 | "outputs": [ |
946 | 946 | { |
|
954 | 954 | " [0.3661, 0.6339]])" |
955 | 955 | ] |
956 | 956 | }, |
957 | | - "execution_count": 117, |
| 957 | + "execution_count": null, |
958 | 958 | "metadata": {}, |
959 | 959 | "output_type": "execute_result" |
960 | 960 | } |
|
1017 | 1017 | }, |
1018 | 1018 | { |
1019 | 1019 | "cell_type": "code", |
1020 | | - "execution_count": 118, |
| 1020 | + "execution_count": null, |
1021 | 1021 | "metadata": {}, |
1022 | 1022 | "outputs": [], |
1023 | 1023 | "source": [ |
|
1033 | 1033 | }, |
1034 | 1034 | { |
1035 | 1035 | "cell_type": "code", |
1036 | | - "execution_count": 119, |
| 1036 | + "execution_count": null, |
1037 | 1037 | "metadata": {}, |
1038 | 1038 | "outputs": [ |
1039 | 1039 | { |
|
1047 | 1047 | " [0.3661, 0.6339]])" |
1048 | 1048 | ] |
1049 | 1049 | }, |
1050 | | - "execution_count": 119, |
| 1050 | + "execution_count": null, |
1051 | 1051 | "metadata": {}, |
1052 | 1052 | "output_type": "execute_result" |
1053 | 1053 | } |
|
1065 | 1065 | }, |
1066 | 1066 | { |
1067 | 1067 | "cell_type": "code", |
1068 | | - "execution_count": 120, |
| 1068 | + "execution_count": null, |
1069 | 1069 | "metadata": {}, |
1070 | 1070 | "outputs": [ |
1071 | 1071 | { |
|
1074 | 1074 | "tensor([0.6025, 0.4979, 0.1332, 0.0034, 0.4041, 0.3661])" |
1075 | 1075 | ] |
1076 | 1076 | }, |
1077 | | - "execution_count": 120, |
| 1077 | + "execution_count": null, |
1078 | 1078 | "metadata": {}, |
1079 | 1079 | "output_type": "execute_result" |
1080 | 1080 | } |
|
1093 | 1093 | }, |
1094 | 1094 | { |
1095 | 1095 | "cell_type": "code", |
1096 | | - "execution_count": 136, |
| 1096 | + "execution_count": null, |
1097 | 1097 | "metadata": {}, |
1098 | 1098 | "outputs": [ |
1099 | 1099 | { |
|
1194 | 1194 | }, |
1195 | 1195 | { |
1196 | 1196 | "cell_type": "code", |
1197 | | - "execution_count": 13, |
| 1197 | + "execution_count": null, |
1198 | 1198 | "metadata": {}, |
1199 | 1199 | "outputs": [ |
1200 | 1200 | { |
|
1203 | 1203 | "tensor([-0.6025, -0.4979, -0.1332, -0.0034, -0.4041, -0.3661])" |
1204 | 1204 | ] |
1205 | 1205 | }, |
1206 | | - "execution_count": 13, |
| 1206 | + "execution_count": null, |
1207 | 1207 | "metadata": {}, |
1208 | 1208 | "output_type": "execute_result" |
1209 | 1209 | } |
|
1214 | 1214 | }, |
1215 | 1215 | { |
1216 | 1216 | "cell_type": "code", |
1217 | | - "execution_count": 14, |
| 1217 | + "execution_count": null, |
1218 | 1218 | "metadata": {}, |
1219 | 1219 | "outputs": [ |
1220 | 1220 | { |
|
1223 | 1223 | "tensor([-0.6025, -0.4979, -0.1332, -0.0034, -0.4041, -0.3661])" |
1224 | 1224 | ] |
1225 | 1225 | }, |
1226 | | - "execution_count": 14, |
| 1226 | + "execution_count": null, |
1227 | 1227 | "metadata": {}, |
1228 | 1228 | "output_type": "execute_result" |
1229 | 1229 | } |
|
1257 | 1257 | }, |
1258 | 1258 | { |
1259 | 1259 | "cell_type": "code", |
1260 | | - "execution_count": 124, |
| 1260 | + "execution_count": null, |
1261 | 1261 | "metadata": {}, |
1262 | 1262 | "outputs": [ |
1263 | 1263 | { |
|
1308 | 1308 | }, |
1309 | 1309 | { |
1310 | 1310 | "cell_type": "code", |
1311 | | - "execution_count": 132, |
| 1311 | + "execution_count": null, |
1312 | 1312 | "metadata": {}, |
1313 | 1313 | "outputs": [ |
1314 | 1314 | { |
|
1344 | 1344 | }, |
1345 | 1345 | { |
1346 | 1346 | "cell_type": "code", |
1347 | | - "execution_count": 137, |
| 1347 | + "execution_count": null, |
1348 | 1348 | "metadata": {}, |
1349 | 1349 | "outputs": [ |
1350 | 1350 | { |
|
1472 | 1472 | }, |
1473 | 1473 | { |
1474 | 1474 | "cell_type": "code", |
1475 | | - "execution_count": 128, |
| 1475 | + "execution_count": null, |
1476 | 1476 | "metadata": {}, |
1477 | 1477 | "outputs": [], |
1478 | 1478 | "source": [ |
|
1488 | 1488 | }, |
1489 | 1489 | { |
1490 | 1490 | "cell_type": "code", |
1491 | | - "execution_count": 129, |
| 1491 | + "execution_count": null, |
1492 | 1492 | "metadata": {}, |
1493 | 1493 | "outputs": [ |
1494 | 1494 | { |
|
1497 | 1497 | "tensor(1.8045)" |
1498 | 1498 | ] |
1499 | 1499 | }, |
1500 | | - "execution_count": 129, |
| 1500 | + "execution_count": null, |
1501 | 1501 | "metadata": {}, |
1502 | 1502 | "output_type": "execute_result" |
1503 | 1503 | } |
|
1515 | 1515 | }, |
1516 | 1516 | { |
1517 | 1517 | "cell_type": "code", |
1518 | | - "execution_count": 130, |
| 1518 | + "execution_count": null, |
1519 | 1519 | "metadata": {}, |
1520 | 1520 | "outputs": [ |
1521 | 1521 | { |
|
1524 | 1524 | "tensor(1.8045)" |
1525 | 1525 | ] |
1526 | 1526 | }, |
1527 | | - "execution_count": 130, |
| 1527 | + "execution_count": null, |
1528 | 1528 | "metadata": {}, |
1529 | 1529 | "output_type": "execute_result" |
1530 | 1530 | } |
|
1544 | 1544 | }, |
1545 | 1545 | { |
1546 | 1546 | "cell_type": "code", |
1547 | | - "execution_count": 131, |
| 1547 | + "execution_count": null, |
1548 | 1548 | "metadata": {}, |
1549 | 1549 | "outputs": [ |
1550 | 1550 | { |
|
1553 | 1553 | "tensor([0.5067, 0.6973, 2.0160, 5.6958, 0.9062, 1.0048])" |
1554 | 1554 | ] |
1555 | 1555 | }, |
1556 | | - "execution_count": 131, |
| 1556 | + "execution_count": null, |
1557 | 1557 | "metadata": {}, |
1558 | 1558 | "output_type": "execute_result" |
1559 | 1559 | } |
|
2726 | 2726 | "display_name": "Python 3 (ipykernel)", |
2727 | 2727 | "language": "python", |
2728 | 2728 | "name": "python3" |
2729 | | - }, |
2730 | | - "language_info": { |
2731 | | - "codemirror_mode": { |
2732 | | - "name": "ipython", |
2733 | | - "version": 3 |
2734 | | - }, |
2735 | | - "file_extension": ".py", |
2736 | | - "mimetype": "text/x-python", |
2737 | | - "name": "python", |
2738 | | - "nbconvert_exporter": "python", |
2739 | | - "pygments_lexer": "ipython3", |
2740 | | - "version": "3.9.7" |
2741 | 2729 | } |
2742 | 2730 | }, |
2743 | 2731 | "nbformat": 4, |
|
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