A mathematical operation that combines two signals to generate a third signal.
Anybody know about the fastest method for calculating convolution? Unfortunately the matrix which I deal with is very large (500x500…
c++ matlab signal-processing convolution template-matchingI'm trying to implement a 2D outline shader in OpenGL ES2.0 for iOS. It is insanely slow. As in 5fps …
opengl-es filter opengl-es-2.0 glsl convolutionProfiling some computational work I'm doing showed me that one bottleneck in my program was a function that basically did …
python numpy scipy convolutionI have Conv2D layer defines as: Conv2D(96, kernel_size=(5, 5), activation='relu', input_shape=(image_rows, image_cols, 1), kernel_…
keras convolution keras-layerI have two 2-D arrays with the same first axis dimensions. In python, I would like to convolve the two …
numpy signal-processing scipy linear-algebra convolutionSo I am aware that a convolution by FFT has a lower computational complexity than a convolution in real space. …
numpy scipy signal-processing fft convolutionAs I understand it, all CNNs are quite similar. They all have a convolutional layers followed by pooling and relu …
neural-network deep-learning caffe convolution conv-neural-networkI tried to implement strided convolution of a 2D array using for loop i.e arr = np.array([[2,3,7,4,6,2,9], [6,6,9,8,7,4,3], [3,4,8,3,8,9,7], [7,8,3,6,6,3,4], [4,2,1,8,3,4,6], [3,2,4,1,9,8,3], [0,1,3,9,2,1,4]]) arr2 = np.…
python numpy convolutionI want to perform a simple 2D image convolution but my kernel is even-sized. Which indices I should pick for …
image-processing convolutionI am new to TensorFlow. I am doing a binary classification with my own dataset. However I do not know …
tensorflow classification convolution