A mathematical operation that combines two signals to generate a third signal.
I'm trying to do this: h = [0.2,0.2,0.2,0.2,0.2] Y = np.convolve(Y, h, "same") Y looks like this: While doing this I …
python numpy convolution valueerrorCan anyone please clearly explain the difference between 1D, 2D, and 3D convolutions in convolutional neural networks (in deep learning) …
machine-learning deep-learning signal-processing conv-neural-network convolutionWhen calculating a simple moving average, numpy.convolve appears to do the job. Question: How is the calculation done when …
python python-2.7 numpy convolution moving-averageI am trying to perform a 2d convolution in python using numpy I have a 2d array as follows with …
python numpy convolutionI am currently seeing the API of theano, theano.tensor.nnet.conv2d(input, filters, input_shape=None, filter_shape=…
machine-learning neural-network theano convolutionI am studying image-processing using Numpy and facing a problem with filtering with convolution. I would like to convolve a …
python numpy image-processing matrix convolutionI am trying to understand the strides argument in tf.nn.avg_pool, tf.nn.max_pool, tf.nn.conv2…
python neural-network convolution tensorflow conv-neural-networkI am manually creating my dataset from a number of 384x286 b/w images. I load an image like this: …
python tensorflow neural-network keras convolutionI know that, in the 1D case, the convolution between two vectors, a and b, can be computed as conv(…
neural-network deep-learning conv-neural-network matrix-multiplication convolutionRather than reinvent the wheel, I wonder if anyone could refer me to a 1D linear convolution code snippet in …
c convolution