matlabdeeplearningcode

所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:14020KB
下载次数:40
上传日期:2018-09-02 19:21:26
上 传 者mujckie
说明:  深度学习书籍《MATLAB Deep Learning》的代码。
(The routines of deep learning book "MATLAB Deep Learning" .)

文件列表:
Deep-Learning-for-Beginners-master (0, 2017-05-18)
Deep-Learning-for-Beginners-master\Python (0, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.2 (0, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.2\DeltaBatch.py (522, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.2\DeltaSGD.py (443, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.2\DeltaXOR.py (439, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.2\SGDvsBatch.py (990, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.2\Sigmoid.py (72, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.2\TestDeltaBatch.py (622, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.2\TestDeltaSGD.py (605, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.2\TestDeltaXOR.py (651, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.3 (0, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.3\BackpropCE.py (599, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.3\BackpropMnt.py (754, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.3\BackpropXOR.py (607, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.3\CEvsSSE.py (1229, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.3\Sigmoid.py (72, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.3\TestBackpropCE.py (718, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.3\TestBackpropMmt.py (713, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.3\TestBackpropXOR.py (722, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.4 (0, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.4\MultiClass.py (626, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.4\RealMultiClass.py (1298, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.4\Sigmoid.py (72, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.4\Softmax.py (148, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.4\TestMultiClass.py (1621, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.5 (0, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.5\DeepDropout.py (1209, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.5\DeepReLU.py (1068, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.5\Dropout.py (216, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.5\ReLU.py (61, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.5\Sigmoid.py (72, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.5\Softmax.py (148, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.5\TestDeepDropout.py (1841, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.5\TestDeepReLU.py (1828, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.6 (0, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.6\Conv.py (438, 2017-05-18)
Deep-Learning-for-Beginners-master\Python\ch.6\LoadMnistData.py (1613, 2017-05-18)
... ...

# Apress Source Code This repository accompanies [*MATLAB Deep Learning*](http://www.apress.com/9781484228449) by Phil Kim (Apress, 2017). [comment]: #cover Download the files as a zip using the green button, or clone the repository to your machine using Git. ## Releases Release v1.0 corresponds to the code in the published book, without corrections or updates. ## Contributions See the file Contributing.md for more information on how you can contribute to this repository.

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