{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "冒險6.ipynb",
"provenance": [],
"collapsed_sections": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/yenlung/Python-AI-Book/blob/main/%E5%86%92%E9%9A%AA06_%E4%BA%BA%E5%B7%A5%E6%99%BA%E6%85%A7%E5%B0%B1%E6%98%AF%E5%95%8F%E5%80%8B%E5%A5%BD%E5%95%8F%E9%A1%8C%EF%BC%8C%E5%8C%96%E6%88%90%E5%87%BD%E6%95%B8%E7%9A%84%E5%9E%8B%E5%BC%8F%E5%AD%B8%E5%80%8B%E5%87%BD%E6%95%B8!.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "oO6NDJHbjZIt"
},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"source": [
"## 純量(0階tensor)"
],
"metadata": {
"id": "UnQtco1lB5bQ"
}
},
{
"cell_type": "code",
"source": [
"x = np.array([[9], [4], [8], [7]]) #一維陣列建立"
],
"metadata": {
"id": "9zkvcHcLjwu4"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"x"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "4feJbPBIklCK",
"outputId": "2f4bf960-52b4-4296-f603-f66f3784a6b0"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[9],\n",
" [4],\n",
" [8],\n",
" [7]])"
]
},
"metadata": {},
"execution_count": 22
}
]
},
{
"cell_type": "code",
"source": [
"x.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xb79QkMM_UAM",
"outputId": "3a0273c1-9ae5-4695-abfb-db0a6e34653e"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(4, 1)"
]
},
"metadata": {},
"execution_count": 25
}
]
},
{
"cell_type": "markdown",
"source": [
"## 向量(1階tensor)"
],
"metadata": {
"id": "nNH-e9liYbFm"
}
},
{
"cell_type": "code",
"source": [
"x = np.array([[9, 4, 8 , 7], [8, 7, 4, 5]]) #二維陣列建立"
],
"metadata": {
"id": "B3UlBHrjAyFB"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"x"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "mswSVV8TklWL",
"outputId": "ac97654a-922f-4519-e5f1-b1a0fcbed065"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[9, 4, 8, 7],\n",
" [8, 7, 4, 5]])"
]
},
"metadata": {},
"execution_count": 27
}
]
},
{
"cell_type": "code",
"source": [
"x.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "eh6yfoDg_X1Q",
"outputId": "daffff55-7ea2-44ab-a1bd-25139eddb7bd"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(2, 4)"
]
},
"metadata": {},
"execution_count": 28
}
]
},
{
"cell_type": "markdown",
"source": [
"## 矩陣(2階tensor)"
],
"metadata": {
"id": "bJOkIJ7sYpLf"
}
},
{
"cell_type": "code",
"source": [
"# 矩陣\n",
"a = x[0]\n",
"b = x[1]"
],
"metadata": {
"id": "ZeF99aI0_nKZ"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"a"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "mhiHfJBNBCE_",
"outputId": "8e197126-a9f2-4cc5-f566-0acc87d77006"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([9, 4, 8, 7])"
]
},
"metadata": {},
"execution_count": 37
}
]
},
{
"cell_type": "code",
"source": [
"a.reshape(2,2)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "afPKcYuTBGfL",
"outputId": "850463a7-b1d1-483f-dedd-6a1d6ea1722e"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[9, 4],\n",
" [8, 7]])"
]
},
"metadata": {},
"execution_count": 38
}
]
},
{
"cell_type": "code",
"source": [
"a = a.reshape(2,2)\n",
"b = b.reshape(2,2)"
],
"metadata": {
"id": "8_e0r1qBBLxE"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"x = np.array([a,b])"
],
"metadata": {
"id": "NKDl4obRBULH"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"x"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "0ALpCf4nBdAN",
"outputId": "fed9cc9a-f72d-492d-f6a5-fb6c94b53715"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[[9, 4],\n",
" [8, 7]],\n",
"\n",
" [[8, 7],\n",
" [4, 5]]])"
]
},
"metadata": {},
"execution_count": 42
}
]
},
{
"cell_type": "code",
"source": [
"x.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "flRPnXWUBe4v",
"outputId": "cea65ee3-9f6a-44b4-846a-4dd56202a7a1"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(2, 2, 2)"
]
},
"metadata": {},
"execution_count": 43
}
]
},
{
"cell_type": "markdown",
"source": [
"## one hot encoding"
],
"metadata": {
"id": "z6glZirnBrvN"
}
},
{
"cell_type": "code",
"source": [
"#one hot encoding\n",
"from tensorflow.keras.utils import to_categorical"
],
"metadata": {
"id": "LbMyOYikotn5"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"x=[0,1,2,3,4,5]"
],
"metadata": {
"id": "PdM0ZaUBxUsf"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# 類別個數:6\n",
"x_1 = to_categorical(x,6)\n",
"x_1"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Lzm1CyOVx8oP",
"outputId": "f104abd5-8537-4147-ecaa-bdc2c01fc7c0"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[1., 0., 0., 0., 0., 0.],\n",
" [0., 1., 0., 0., 0., 0.],\n",
" [0., 0., 1., 0., 0., 0.],\n",
" [0., 0., 0., 1., 0., 0.],\n",
" [0., 0., 0., 0., 1., 0.],\n",
" [0., 0., 0., 0., 0., 1.]], dtype=float32)"
]
},
"metadata": {},
"execution_count": 3
}
]
}
]
}