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1下载：
Geoffrey E. Hinton 深度学习资料-Geoffrey E. Hinton Deep Learning code
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深度学习各种版本代码，包括C,C++,JAVA,python,scala-many versions of deep learning code,include versions of C,C++,JAVA,python,scala
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stanford大学deep learning在线课程课后练习代码，我自己写的，可以参考一下。-Excercise of deep learning online course from http://deeplearning.stanford.edu/wiki. It is written by myself, aiming to help other students who is confused in the course.
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斯坦福深度学习教程中关于Self-Taught的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on Self-Taught code, source code need to fill all places, all the full complement of the code, the handwriting recognition into the pat
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Excise 1 deep learning code
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深度学习DBN网络，使用MATLAB，有详细的注释-DBN deep learning network, using MATLAB, there are detailed notes
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deep learning code it helpful the begainer in deep learning-deep learning code it helpful the begainer in deep learning
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超分辨卷积神经网络，深度学习，MATLAB代码，获取深度学习的训练数据-Super-resolution convolution neural network, the depth of learning, MATLAB code, get deep learning of the training data
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Deep learning code Deep learning code
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深度残差网络的介绍与源代码，适合深度学习爱好者学习。这是何凯明大牛的又一部大作。-The depth of the residual network is introduced with the source code , suitable for deep learning lovers to study . This is another masterpiece He Kaiming Daniel .
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Deep learning in R language code.
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keras的Demo，深度学习入门级代码。(The demo of keras. It's the basic code for deep learning.)
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deep learning for semantic image completion
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Deep Learning With Python 原书配套代码。
包括所有常见的深度学习模型
注释丰富，代码规范
使用流行的keras库实现，jupyter notebook格式(Deep Learning With Python Original book matching code.
Including all the common deep learning models
Rich annotation, code specification
Using the popula
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this code for optimize initialization in deep learning
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LightNet是一个轻量级、多功能、纯粹的基于MATLAB的深度学习代码，附论文和代码，已运行跑通。(LightNet is a lightweight, multi-functional, pure MATLAB based deep learning code, with paper and code, running run.)
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deep learning python mini code
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Stanford 大学的深度学习源代码，可用于模式识别和预测，比较稳定。(Stanford University's deep learning source code can be used for pattern recognition and prediction, and is relatively stable.)
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Q-learning 算法实现AGV的最优路径规划，实测效果非常好，对于研究深度学习和强化学习的同学很有帮助！(The Q-learning algorithm realizes the optimal path planning of AGV, and the measured results are very good. It is very helpful for students who are studying deep learning and reinforcement learn
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深度学习四大名著：Deep Learning with Python
英文版，中文版，Python源码(Four Masterpieces on deep learning : Deep learning with Python
English version,Chinese version, python source code)
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