Machines have come a long way in seeing and understanding images, but they still don’t see quite like humans do. A new ...

In this video, we will understand what is Padding in Convolutional Neural Network and why do we need padding in Convolutional ...

The second convolution and pooling results in a tensor with shape [bs, 64, 4, 4]. The number of convolution layers, their transformation shapes, the pooling size and whether to use dropout or not are ...

We give a formula for the density of the free convolution of an arbitrary probability measure with a semi-circular distribution. We use this formula to establish a certain number of regularity ...

In a lecture example, we used the convolution integral approach to study the response of an undamped oscillator excited by the rectangular pulse shown below. Here we will apply the graphical ...

The Convolution Integral Recall that the convolution integral process is broken down into four steps: folding the impulse response function: h (tau) folds to h (-tau) shifting the impulse response ...