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你好,我看你对神经网络没做修改,我想咨询一下,你的输入数据的尺寸是多大? @HypoX64
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其实输入尺寸是多少都行。用2d的cnn的话会自动执行stft,通过控制stft_size,stft_stride改变生成图片的大小,当然无论多大的图片理论都是可以的,因为resnet,mobilenet这类网络全连接层前都会有nn.AdaptiveAvgPool2d((1, 1)),将每个特征池化到1.
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好的,谢谢你,你用哪一个网络觉得效果比较好
在数据量足够大而且只考虑准确率的话当然是参数越多的网络越好啊比如densenet121,同时考虑计算量做trade off的话可以选择LSTM或者stft后用mobilenet
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你好,我看你对神经网络没做修改,我想咨询一下,你的输入数据的尺寸是多大? @HypoX64
The text was updated successfully, but these errors were encountered: