Tools

Receptive Field Calculator

A convolutional layer operates over a local region of the input to that layer with the size of this local region usually specified directly. You can also compute the effective receptive field of a convolutional layer which is the size of the input region to the network that contributes to a layers’ activations. For example, if the first convolutional layer has a receptive field of 3x3 then it’s effective receptive field is also 3x3 since it operates directly on the input. However if the second layer of a convolutional network also has a 3x3 filter, then it’s (local) receptive field is 3x3, but it’s effective receptive field is 5x5

Convolutional Filter Inputs

Layer # Kernel Size Stride Dilation Padding Input Size Output Size Receptive Field

Hierarchical RNNs

Notes on the paper Hierarchical Multiscale Recurrent Neural Networks which introduces a novel update…


Contextual Recurrent Neural Networks

There is an implicit assumption that by unfolding recurrent neural networks (RNN) in finite time,…


Receptive Field Calculator

A convolutional layer operates over a local region of the input to that layer with the size of this…


What could you do as an AI-powered company?