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images have the “stationarity” property, which implies that features that are useful in one region are also likely to be useful for other regions.
算法报告
word2vec_basic.py
Softmax_function
Convex combination
函数的光滑化或正则化 卷积 应用 两个统计独立变量X与Y的和的概率密度函数是X与Y的概率密度函数的卷积
world embedding 嵌入
dump json 显示中文问题
dump json 显示中文问题
perl $d = encode_utf8($r); $f = decode_json($d)
原文地址：https://www.cnblogs.com/ZhZhang12138/p/14872916.html
最新文章
卷积核 即 滤波器
position
What happens when we continue stacking deeper layers on a “plain” convolutional neural network?
A vectorized example
SVM vs. Softmax
run length encoding
Data Decisions: DSP vs. DMP
What I learned from competing against a ConvNet on ImageNet
Image Recognition
They're much closer in spirit to how our brains work than feedforward networks.
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output value . Sigmoid neurons are similar to perceptrons, but modified so that small changes in their weights and bias cause only a small change in their output.
aerospike
它是个黑盒，无法解释的黑盒；它避免了我们的或者某种来源的先验强加于陌生人：另外一个黑盒。
bilingual evaluation understudy
TensorFlow_action
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减少75%的数据量 它的精确位置远不及它和其他特征的相对位置的关系重要
The hidden layers are either convolutional, pooling or fully connected.
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