# DeepLearningCoursera

**Repository Path**: vzy2d/DeepLearningCoursera

## Basic Information

- **Project Name**: DeepLearningCoursera
- **Description**: Deep Learning - Coursera
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-07-06
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# deep learning - coursera
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<table>
<!--　首行　-->
    <tr>
        <td>Class</td><td>Week</td><td></td><td></td><td></td>
    </tr>
<!--　课程１　-->
    <!--　week１　-->
    <tr>
        <td rowspan="8">Class1 - Neural Networks and Deep Learning</td>
        <td>１</td><td>深度学习简介</td><td>quiz</td><td></td>
    </tr>
    <!--　week2　-->
    <tr>
        <td rowspan="2">2</td><td>神经网络基础</td><td>quiz</td><td></td>
    </tr>
    <tr>
        <td>具有神经网络思维的Logistic回归</td><td>code</td><td>✔</td>
    </tr>
    <!--　week3　-->
    <tr>
        <td rowspan="2">3</td><td>浅层神经网络</td><td>quiz</td><td></td>
    </tr>
    <tr>
        <td>带有一个隐藏层的平面数据分类</td><td>code</td><td>✔</td>
    </tr>
    <!--　week4　-->
    <tr>
        <td rowspan="3">4</td><td>深度神经网络的关键概念</td><td>quiz</td><td></td>
    </tr>
    <tr>
        <td>Building your Deep Neural Network - Step by Step</td><td>code</td><td>✔</td>
    </tr>
    <tr>
        <td>Deep Neural Network - Application</td><td>code</td><td>✔</td>
    </tr>
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    <tr>
        <td rowspan="7">Class2 - Improving Deep Neural Networks</td>
        <!--　week1　-->
        <tr>
            <td rowspan="2">1</td>
            <td>深度学习的实践</td><td>quiz</td><td></td>
        </tr>
        <tr>
            <td>初始化、正则化、梯度校验（1 & 2 & 3）</td><td>code</td><td></td>
        </tr>
        <!--　week2　-->
        <tr>
            <td rowspan="2">2</td>
            <td>优化算法</td><td>quiz</td><td></td>
        </tr>
        <tr>
            <td>优化算法实战</td><td>code</td><td></td>
        </tr>
        <!--　week3　-->
        <tr>
            <td rowspan="2">3</td>
            <td>超参数调整，批量标准化，编程框架</td><td>quiz</td><td></td>
        </tr>
        <tr>
            <td>TensorFlow入门</td><td>code</td><td></td>
        </tr>
    </tr>
<!--　课程3　-->
    <tr>
        <td rowspan="3">Class3 - Structuring Machine Learning Projects</td>
        <!--　week1　-->
        <tr>
            <td rowspan="1">1</td>
            <td>和平之城中的鸟类识别(案例研究)</td><td>quiz</td><td></td>
        </tr>
        <!--　week2　-->
        <tr>
            <td rowspan="1">2</td>
            <td>自动驾驶（案例研究）</td><td>quiz</td><td></td>
        </tr>
    </tr>
<!--　课程4　-->
    <tr>
        <td rowspan="9">Class4 - Convolutional Neural Networks</td>
        <!--　week1　-->
        <tr>
            <td rowspan="2">1</td>
            <td>卷积神经网络的基本知识</td><td>quiz</td><td></td>
        </tr>
        <tr>
            <td>搭建卷积神经网络模型以及应用（1 & 2）</td><td>code</td><td></td>
        </tr>
        <!--　week2　-->
        <tr>
            <td rowspan="2">2</td>
            <td>深度卷积模型</td><td>quiz</td><td></td>
        </tr>
        <tr>
            <td>Keras入门与残差网络的搭建</td><td>code</td><td></td>
        </tr>
        <!--　week3　-->
        <tr>
            <td rowspan="2">3</td>
            <td>检测算法</td><td>quiz</td><td></td>
        </tr>
        <tr>
            <td>车辆识别</td><td>code</td><td></td>
        </tr>
        <!--　week4　-->
        <tr>
            <td rowspan="2">4</td>
            <td>特殊应用：人脸识别和神经风格转换</td><td>quiz</td><td></td>
        </tr>
        <tr>
            <td>人脸识别与神经风格转换</td><td>code</td><td></td>
        </tr>
    </tr>
<!--　课程5　-->
    <tr>
        <td rowspan="7">Class5 - Sequence Models</td>
        <!--　week1　-->
        <tr>
            <td rowspan="2">1</td>
            <td>循环神经网络</td><td>quiz</td><td></td>
        </tr>
        <tr>
            <td>搭建循环神经网络及其应用</td><td>code</td><td></td>
        </tr>
        <!--　week2　-->
        <tr>
            <td rowspan="2">2</td>
            <td>自然语言处理与词嵌入</td><td>quiz</td><td></td>
        </tr>
        <tr>
            <td>词向量的运算与Emoji生成器</td><td>code</td><td></td>
        </tr>
        <!--　week3　-->
        <tr>
            <td rowspan="2">3</td>
            <td>序列模型与注意力机制</td><td>quiz</td><td></td>
        </tr>
        <tr>
            <td>机器翻译与触发词检测</td><td>code</td><td></td>
        </tr>
    </tr>
</table>


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# paper
#### (C2W1)
 - Adam paper: https://arxiv.org/pdf/1412.6980.pdf
#### (C3)
 - LeNet-5
 - VGG-16
 - AlexNet
 - ResNet
 - InceptionNet


# requirements
 - python == 3.7.6
 - tensorflow == 1.5.3
 - scipy == 1.1.0
 - numpy == 1.18.1 (>=1.13.3)
 - matplotlib == 3.2.2
 - h5py == 2.10.0
 - keras == 2.1.5
 - pandas == 0.25.3