Name	Name	Last commit message	Last commit date
Latest commit History 4 Commits
00-预告.md	00-预告.md
01-课程安排.md	01-课程安排.md
02-深度学习介绍.md	02-深度学习介绍.md
03-安装.md	03-安装.md
04-数据读取和操作.md	04-数据读取和操作.md
05-线性代数.md	05-线性代数.md
06-矩阵计算.md	06-矩阵计算.md
07-自动求导.ipynb	07-自动求导.ipynb
07-自动求导.md	07-自动求导.md
08-线性回归+基础优化算法.md	08-线性回归+基础优化算法.md
09-softmax回归.md	09-softmax回归.md
10-多层感知机.md	10-多层感知机.md
11-模型选择+过拟合和欠拟合.md	11-模型选择+过拟合和欠拟合.md
12-权重衰退.ipynb	12-权重衰退.ipynb
12-权重衰退.md	12-权重衰退.md
13-丢弃法.ipynb	13-丢弃法.ipynb
13-丢弃法.md	13-丢弃法.md
14-数值稳定性.md	14-数值稳定性.md
15-实战Kaggle比赛：预测房价.md	15-实战Kaggle比赛：预测房价.md
16-Pytorch神经网络基础.md	16-Pytorch神经网络基础.md
17-使用和购买GPU.ipynb	17-使用和购买GPU.ipynb
17-使用和购买GPU.md	17-使用和购买GPU.md
18-预测房价竞赛总结.md	18-预测房价竞赛总结.md
19-卷积层.ipynb	19-卷积层.ipynb
19-卷积层.md	19-卷积层.md
20-填充和步幅.ipynb	20-填充和步幅.ipynb
20-填充和步幅.md	20-填充和步幅.md
21-多输入输出通道.ipynb	21-多输入输出通道.ipynb
21-多输入输出通道.md	21-多输入输出通道.md
22-池化层.ipynb	22-池化层.ipynb
22-池化层.md	22-池化层.md
23-LeNet.ipynb	23-LeNet.ipynb
23-经典卷积神经网络LeNet.md	23-经典卷积神经网络LeNet.md
24-AlexNet.ipynb	24-AlexNet.ipynb
24-AlexNet.md	24-AlexNet.md
25-VGG.ipynb	25-VGG.ipynb
25-使用块的网络VGG.md	25-使用块的网络VGG.md
26-NiN.ipynb	26-NiN.ipynb
26-NiN.md	26-NiN.md
27-GoogLeNet.md	27-GoogLeNet.md
27-googlenet.ipynb	27-googlenet.ipynb
28-批量归一化.ipynb	28-批量归一化.ipynb
28-批量归一化.md	28-批量归一化.md
29-残差网络ResNet.md	29-残差网络ResNet.md
30-第二部分完结竞赛：图片分类.md	30-第二部分完结竞赛：图片分类.md
31-CPU和GPU.md	31-CPU和GPU.md
32-深度学习硬件.md	32-深度学习硬件.md
33-单机多卡并行.md	33-单机多卡并行.md
34-多GPU训练实现(only QA).md	34-多GPU训练实现(only QA).md
34-多GPU训练实现.ipynb	34-多GPU训练实现.ipynb
35-分布式训练.md	35-分布式训练.md
36-数据增广.ipynb	36-数据增广.ipynb
36-数据增广.md	36-数据增广.md
37-微调.ipynb	37-微调.ipynb
37-微调.md	37-微调.md
38-第二次竞赛树叶分类结果.md	38-第二次竞赛树叶分类结果.md
39-实战Kaggle竞赛：CIFAR-10.md	39-实战Kaggle竞赛：CIFAR-10.md
40-实战Kaggle比赛：狗的品种识别.ipynb	40-实战Kaggle比赛：狗的品种识别.ipynb
41-物体检测和数据集.md	41-物体检测和数据集.md
43-树叶分类竞赛技术总结.md	43-树叶分类竞赛技术总结.md
44-物体检测算法：R-CNN,SSD,YOLO.md	44-物体检测算法：R-CNN,SSD,YOLO.md
46-语义分割.ipynb	46-语义分割.ipynb
46-语义分割.md	46-语义分割.md
47-转置卷积.md	47-转置卷积.md
48-全连接卷积神经网络（FCN）.md	48-全连接卷积神经网络（FCN）.md
49-样式迁移.ipynb	49-样式迁移.ipynb
49-样式迁移.md	49-样式迁移.md
50-课程竞赛：牛仔行头检测.md	50-课程竞赛：牛仔行头检测.md
51-序列模型.md	51-序列模型.md
52-文本预处理.ipynb	52-文本预处理.ipynb
53-语言模型.md	53-语言模型.md
54-循环神经网络RNN.md	54-循环神经网络RNN.md
55-RNN.ipynb	55-RNN.ipynb
56-GRU.ipynb	56-GRU.ipynb
56-GRU.md	56-GRU.md
57-LSTM.md	57-LSTM.md
58-深层循环神经网络.ipynb	58-深层循环神经网络.ipynb
58-深层循环神经网络.md	58-深层循环神经网络.md
60_机器翻译与数据集.ipynb	60_机器翻译与数据集.ipynb
61-编码器-解码器架构.md	61-编码器-解码器架构.md
62-Seq2Seq.ipynb	62-Seq2Seq.ipynb
62-序列到序列学习.md	62-序列到序列学习.md
63-束搜索.md	63-束搜索.md
64-注意力机制.ipynb	64-注意力机制.ipynb
65-注意力分数.md	65-注意力分数.md
67-自注意力和位置编码.ipynb	67-自注意力和位置编码.ipynb
68-Transformer.md	68-Transformer.md
69-bert预训练.md	69-bert预训练.md
70-BERT微调.md	70-BERT微调.md
72-优化算法.md	72-优化算法.md
README.md	README.md

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