搜索资源列表
HeadPFirstPPython
- 这是一本极好的python编程书籍,从中可以学习到很多其他书上学不到的知识,比同类书籍更为有深度-This is an excellent python programming books, which you can learn a lot of other books to school less than knowledge, more depth than similar books
nn-from-scratch-master
- 这是深度学习的一些代码,用PYTHON写的,很好用,请大家看一看。(Deep Learning with Python)
tensorflow_speech_recognition_demo-master
- 此程序为语音识别深度学习程序,使用python程序编写。(This program is written for the speech recognition depth learning program, using the python program.)
mnist实验
- 包含训练用的图片数据包,python源代码,mnist实验,深度学习,进行图片分类(mnist experiment.python code.deep learning.picture classification,etc.)
DeepLearning
- DeepLearning 工具包C, C++, Java, phython, scala代码集合,(DeepLearning Toolkit :C, C ++, Java, phython, scala code collection)
deep_ocr-master
- ocr,一个深度学习的ocr开源代码,非常不错的ocr。(ocr, this is a great ocr open source code by Python. Very nice project.)
face
- 系统介绍:基于树莓派官方系统stretch 系统,系统内安装了opencv3.3.0以及 tensorflow1.1.0 。人脸识别门禁的代码在里面目录/home/pi/face。内安装了深度学习的案例。 程序启动说明:开机前连接树莓派摄像头或网络USB摄像头,网络摄像头无需下面的设置。如使用树莓派摄像头则在终端输入 sudo nano /etc/modules-load.d/modules.conf 在最后添加一行添加
单层感知器
- 基于深度学习实现单层感知器的python代码,用单层感知器处理非线性分类问题,观察结果。(The Python code of single layer perceptron is realized based on depth learning, and the nonlinear classification problem is processed with a single layer perceptron, and the r
opencvpython
- 图像处理python表代码。其中有一部分是基于深度学习的。(Image processing Python table code. Some of them are based on deep learning.)
DeepLearningPython_jb51
- 关于python的深度学习资源。关于python的深度学习教学。关于python的深度学习材料。(Deep learning resources for Python. The teaching of deep learning in Python. Deep learning materials about python.)
DeepMind-Atari-Deep-Q-Learner-master
- 基于python环境的简明深度强化学习深度Q学习实现代码(Concise deep intensive learning based on Python environment and deep Q learning implementation code)
ddpg
- 深度强化学习中DDPG算法的代码,用Python语言实现(The code of DDPG algorithm in deep reinforcement learning, implemented in Python language)
单一任务导航
- 测试深度马尔可夫决策来导航,给出了python的实现代码(MDP based navigation)
tpprl
- 结合深度强化学习和时间点过程算法的实现,主要用python(In combination with deep reinforcement learning and implementation of time point process algorithm, Python is mainly used.)
stock_predict_with_LSTM-master
- 深度学习,LSTM股票预测,python代码(Deep Learning, LSTM Stock Forecasting, Pthon Code)
CNN
- 基于卷积神经网络的无限电调制方式识别,数据集由软件无线电产生(Recognition of infinite electrical modulation based on convolutional neural network. Data sets are generated by software radio)
chatbot
- 聊天机器人 原理: 严谨的说叫 ”基于深度学习的开放域生成对话模型“,框架为Keras(Tensorflow的高层包装),方案为主流的RNN(循环神经网络)的变种LSTM(长短期记忆网络)+seq2seq(序列到序列模型),外加算法Attention Mechanism(注意力机制),分词工具为jieba,UI为Tkinter,基于”青云“语料(10万+闲聊对话)训练。 运行环境:python3.6以上,Tensorflow,pan
st_lstm_pytorch
- 设计一种新颖的深度学习网络,用于时空序列的建模预测,ST-LSTM在一个统一的记忆单元中同时捕获记忆空间和时间特征。本源码是基于python的Pytorch框架编写的。