擅长:python、mysql、java
<p>您需要在过滤器数量之后指定内核大小,例如:</p>
<pre><code>kernel_size = 3
model.add(Convolution3D(nb_filters[0], kernel_size, nb_depth=nb_conv[0], nb_row=nb_conv[0],
nb_col=nb_conv[0],input_shape=(1, img_rows, img_cols, patch_size),
activation='relu'))
</code></pre>
<p>从<a href="https://keras.io/layers/convolutional/#conv3d" rel="nofollow noreferrer">documentation</a>:</p>
<blockquote>
<p>kernel_size: An integer or tuple/list of 3 integers, specifying the width and height of the 3D convolution window. Can be a single integer to specify the same value for all spatial dimensions.</p>
</blockquote>