/file

interesting application of deep learning

cv计算机视觉

卷积的计算过程

https://cs231n.github.io/assets/conv-demo/index.html

卷积与反卷积

https://blog.csdn.net/qq_23225317/article/details/79678285

图像分类器下载命令"git clone https://github.com/akshaypai/tfClassifiercd tfClassifier"

猫狗识别

https://github.com/527515025/My-TensorFlow-tutorials/blob/master/%E7%8C%AB%E7%8B%97%E8%AF%86%E5%88%AB/input_data.py

pix2pix

https://github.com/affinelayer/pix2pix-tensorflow

dcgan

https://github.com/bamos/dcgan-completion.tensorflow

neural_style系列

https://github.com/cysmith/neural-style-tf  #neural_style的傻瓜教程 https://www.cnblogs.com/yanghang-great/p/7495961.html

图像清晰化

https://github.com/DmitryUlyanov/deep-image-prior

马赛克还原

https://github.com/nilboy/pixel-recursive-super-resolution

为动漫人物上色(非深度学习lib)

https://github.com/pfnet/PaintsChainer

图像边界填充gezheng复现

https://github.com/tensorflow/models/tree/master/research/deeplab

BEGAN

https://blog.csdn.net/c2a2o2/article/details/76033167

视频发展预测（torch）

https://github.com/cvondrick/videogan

3d gan

1.https://github.com/zck119/3dgan-release                 2.http://blog.topspeedsnail.com/archives/11131

cv 与nlp 结合

neural talk

https://blog.csdn.net/gavin__zhou/article/details/51036540

根据文本生成图像

https://github.com/paarthneekhara/text-to-image

tensorflow实现的im2txt

1.https://github.com/ndscigdata/tensorflow-im2txt 2.https://github.com/tensorflow/models/blob/master/research/im2txt/README.md

nlp自然语言处理

声音识别

https://github.com/llSourcell/tensorflow_speech_recognition_demo

tensorflow简单语音识别

https://blog.csdn.net/u014365862/article/details/54889646

wave_net demo

https://github.com/ibab/tensorflow-wavenet

变声器

https://github.com//andabi/deep-voice-conversion

rnn tensorflow 进行minst 分类

https://blog.csdn.net/eric2016_lv/article/details/71154162

char-rnn

1. https://github.com/karpathy/char-rnn 2. https://github.com/crazydonkey200/tensorflow-char-rnn 3.char-rnn 变体生成藏头诗 https://blog.csdn.net/u014232627/article/details/71189078 4.大同小异的古诗rnn https://github.com/hzy46/Char-RNN-TensorFlow

seq2seq(在tensorflow model中也有)

https://github.com/sea-boat/seq2seq_chatbot.git

词汇生成器

https://github.com/JacobPlaster/ann-writer

deep-speech

https://github.com/mozilla/DeepSpeech

句子分类

https://github.com/dennybritz/cnn-text-classification-tf

行为与策略

简单的Markov process demo

模仿行为学习（gan）

https://github.com/openai/imitation

好奇心算法（gan）

https://github.com/pathak22/noreward-rl

deepdrive

https://deepdrive.io/

贝曼方程推导过程

http://www.atyun.com/10331_%E5%BC%BA%E5%8C%96%E5%AD%A6%E4%B9%A0%E7%B3%BB%E5%88%97%EF%BC%88%E4%B8%8B%EF%BC%89%EF%BC%9A%E8%B4%9D%E5%B0%94%E6%9B%BC%E6%96%B9%E7%A8%8B.html

强化学习接球

http://blog.topspeedsnail.com/archives/10459

五子棋

https://github.com/junxiaosong/AlphaZero_Gomoku

牛逼的小孩用dqn

https://github.com/kvfrans/openai-cartpole/blob/master/README.md

autocoder easy

https://blog.csdn.net/yaoming168/article/details/73028386

数据集

图像数据资料集

http://www.mobibrw.com/2017/7900

fast-rcnn 数据集制作（方法和流程）

http://www.cnblogs.com/louyihang-loves-baiyan/p/4903231.html

制作自己的tfrecord数据集常用流程

https://www.2cto.com/kf/201702/604326.html

im2txt数据

https://pan.baidu.com/s/1qYVuVTU?qq-pf-to=pcqq.c2c

读取数据常用方法

http://www.jb51.net/article/134146.htm

社会数据下载渠道

https://zhuanlan.zhihu.com/p/25138563

cifar10数据

http://www.cs.toronto.edu/~kriz/cifar.html

网络结构

图像识别竞赛冠军网络结构 alexnet:

https://github.com/tensorflow/models/tree/master/tutorials/image/alexnet

github中各种网络的实现

https://blog.csdn.net/isuccess88/article/details/69676819

其他资料

和我类似的资源

https://blog.csdn.net/zhaoyu106/article/details/53157818

清华镜像站

https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/

完整项目简单流程介绍

https://blog.csdn.net/Koala_Tree/article/details/78021375?locationNum=10&fps=1

tensorflow

的一些有关训练和线程的函数解释 https://www.cnblogs.com/wuzhitj/p/6648641.html

tensorflow 读取csv

google model research

https://github.com/tensorflow/models/tree/master/research

mark down使用方法

https://blog.csdn.net/qcx321/article/details/53780672

外部部署

https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android

性能

gpu自动选择空闲GPU

https://github.com/QuantumLiu/tf_gpu_manager