How to perform convolution separately on the input channels?
Is it possible to perform convolution on the input channels separately? As there are two input channels having depth 2. If I set filter as[2,2,1,1] it gives me error. Then how can I perform convolution separately on the two input channels? input = tf.Variable(tf.random_normal([1,4,4,2])) filter = tf.Variable(tf.random_normal([2,2,2,1])) op = tf.nn.conv2d(input, filter, strides=[1, 2, 2, 1], padding='SAME')
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