Tag: convolution

11 Why would you implement the position-wise feed-forward network of the transformer with convolution layers? 2019-09-18T23:45:28.737

7 When should I use 3D convolution? 2019-07-31T06:09:54.267

6 What are the benefits of using max-pooling in convolutional neural networks? 2019-07-25T16:29:04.390

4 What is the difference between asymmetric and depthwise separable convolution? 2019-08-02T12:57:49.087

4 Combining mean pooling and max pooling 2019-08-24T10:20:47.827

4 Wouldn't convolutional neural network models work better without flattening the input in any stages? 2019-11-11T20:44:01.343

4 Convolutional Neural Network: does each filter in each convolution layer create a new image? 2019-12-09T14:26:42.580

4 When is max pooling exactly applied in convolutional neural networks? 2020-02-05T11:10:30.670

4 Is there any difference between the convolution operation applied to images and applied to other numerical 2D data? 2020-03-04T20:17:57.710

4 How to calculate the number of parameters of a convolutional layer? 2020-03-16T11:59:51.413

3 Is it useful to eliminate the less relevant filters from a trained CNN? 2019-09-06T19:17:53.750

3 Is it possible to vectorise a CNN? 2019-11-04T00:06:14.980

3 How is the convolution layer is usually implemented in practice? 2020-04-15T15:09:28.690

3 What does "convolve k filters" mean in the AlphaGo paper? 2020-08-19T04:28:46.577

2 How can the convolution operation be implemented as a matrix multiplication? 2019-03-12T13:57:59.017

2 Why do the inputs and outputs of a convolutional layer usually have the same depth? 2019-06-10T09:08:59.117

2 Why do we get a three-dimensional output after a convolutional layer? 2019-08-16T05:47:03.300

2 Can I shuffle image channel data as a form of data augmentation? 2019-12-04T10:26:07.680

2 Is it a sign of overfitting when validation_loss dips and then goes up with increasingly bigger swings? 2020-03-07T10:20:18.750

2 Is it possible to apply the associative property of the convolution operation when it is followed by a non-linearity? 2020-06-30T13:37:32.867

2 Why can we perform graph convolution using the standard 2d convolution with $1 \times \Gamma$ kernels? 2020-07-24T17:54:52.897

1 Is my understanding of how the convolution with stride 2 works in this example correct? 2018-04-11T08:59:05.170

1 Convolutional filters: create new ones 2019-11-20T07:50:02.870

1 Efficient implementation of seperable convolution in tensorflow 2020-01-24T01:31:23.507

1 How is the depth of filters of hidden layers determined? 2020-01-31T20:01:42.897

1 How do I optimize the number of filters in a convolution layer? 2020-02-20T15:21:44.790

1 What's the difference in using multiple convolutional layers and no pooling versus using a single convolutional layer and a single max pooling layer? 2020-02-26T21:08:36.173

1 Are activation functions applied to feature maps? 2020-05-07T15:14:16.510

1 How do we choose the filters for the convolutional layer of a convolution neural network? 2020-05-19T05:17:14.900

1 Is there a difference between using 1d conv layers and 2d conv layers with kernel with size of 1 along other than time dimension? 2020-05-21T08:25:22.417

1 Do convolutional neural networks perform convolution or cross-correlation? 2020-06-18T17:13:00.543

1 How will the input be preserved as we go deeper in CNN, where dimensions decrease drastically? 2020-06-25T14:40:17.107

1 Why does the number of channels in the PointNet increase as we go deeper? 2020-07-17T05:47:11.613

1 Can I think graph convolution as 2D convolution like images? 2020-07-24T08:58:11.450

1 Embedding Layer into Convolution Layer 2020-07-27T13:48:40.853

0 How should the values of the filters of a CNN change? 2019-04-22T09:09:17.073

0 Looking for the right type of 1D-Convolution that only considers one column/attribute 2019-09-16T21:23:41.783

0 Set my own kernels to a CNN and don't let it to modify it 2020-01-14T15:29:51.597

0 FFT-Convolution. With Pixel Stride and Padding 2020-09-02T19:17:07.653