锻炼：锻炼nndl
《神经网络与深度学习》课程练习
书籍信息：
欢迎大家补充练习译文。
环境设定
本次作业需要首先安装anaconda3下载地址 2.0 pytorch> 0.4
锻炼
1.热身练习热身
numpy是Python中对于矩阵处理很实用的工具包，本小节作业主要是熟悉基本的numpy操作。
2.线性回归模型
3.线性模型
支持向量机
Softmax回归Softmax回归
4.前馈神经网络
利用numpy实现全连接神经网络
5.卷积神经网络卷积神经网络（CNN）
利用卷积神经网络，处理MNIST数据集分类问题。
6.循环神经网络
基于循环神经网络的唐诗生成问题
7.注意力机制
使用序列对模型进行建模。
使用注意序列对模型进行排序。
11.高斯混合模型高斯混合模型
12.限制性玻尔兹曼机
使用适当的玻尔兹曼机（Restricted Boltzmann Machine，RBM），对MNIST数据集建模。
文件下载
资源详情
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