資源簡介
深度學習卷積神經網絡,簡單的實現卷積神經網絡的架構 。簡單通俗

代碼片段和文件信息
import?numpy?as?np
from?scipy?import?signal
def?Conv(x?W):
????(wrow?wcol?numFilters)?=?W.shape
????(xrow?xcol)?????????????=?x.shape
????
????yrow?=?xrow?-?wrow?+?1
????ycol?=?xcol?-?wcol?+?1?
????
????y?=?np.zeros((yrow?ycol?numFilters))
????
????for?k?in?range(numFilters):
????????filter?=?W[:?:?k]
????????filter?=?np.rot90(np.squeeze(filter)?2)
????????y[:?:?k]?=?signal.convolve2d(x?filter?‘valid‘)
????
????return?y
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-05-24?10:31??卷積神經網絡\
?????文件?????????438??2017-05-18?17:56??卷積神經網絡\Conv.py
?????文件????????1613??2017-05-18?17:56??卷積神經網絡\LoadMnistData.py
?????目錄???????????0??2018-05-24?10:31??卷積神經網絡\MNIST\
?????文件?????1648877??2017-05-18?17:56??卷積神經網絡\MNIST\t10k-images-idx3-ubyte.gz
?????文件?????7840016??2017-05-18?17:56??卷積神經網絡\MNIST\t10k-images.idx3-ubyte
?????文件????????4542??2017-05-18?17:56??卷積神經網絡\MNIST\t10k-labels-idx1-ubyte.gz
?????文件???????10008??2017-05-18?17:56??卷積神經網絡\MNIST\t10k-labels.idx1-ubyte
?????文件???????60008??2017-05-18?17:56??卷積神經網絡\MNIST\train-labels.idx1-ubyte
?????文件????????2389??2017-05-18?17:56??卷積神經網絡\MnistConv.py
?????文件?????????360??2017-05-18?17:56??卷積神經網絡\Pool.py
?????文件??????????61??2017-05-18?17:56??卷積神經網絡\ReLU.py
?????文件??????????72??2017-05-18?17:56??卷積神經網絡\Sigmoid.py
?????文件?????????148??2017-05-18?17:56??卷積神經網絡\Softmax.py
?????文件????????1089??2017-05-18?17:56??卷積神經網絡\TestMnistConv.py
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