{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"hell world!\n"
]
}
],
"source": [
"print('hell world!')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 人工智能\n",
"- 机器学习\n",
" - 线性回归\n",
" - 逻辑回归\n",
" - 聚类\n",
"- 深度学习\n",
" - 人工神经网络\n",
" - CNN\n",
" - RNN\n",
" - TensorFlow"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### 1.3 主要功能\n",
"<img src=\"https://imgbed.momodel.cn/20210311160548.png\" width=1000px/>"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}