trw.layers.convs_3d

Module Contents

Functions

convs_3d(channels, convolution_kernels=(5, 5, 5), strides=(1, 1, 1), pooling_size=(2, 2, 2), convolution_repeats=None, activation=nn.ReLU, with_flatten=False, dropout_probability=None, with_batchnorm=False, with_lrn=False, lrn_size=2, batchnorm_momentum=0.1, padding='same')

param channels
trw.layers.convs_3d.convs_3d(channels, convolution_kernels=(5, 5, 5), strides=(1, 1, 1), pooling_size=(2, 2, 2), convolution_repeats=None, activation=nn.ReLU, with_flatten=False, dropout_probability=None, with_batchnorm=False, with_lrn=False, lrn_size=2, batchnorm_momentum=0.1, padding='same')
Parameters

  • channels –

  • convolution_kernels –

  • strides –

  • pooling_size –

  • convolution_repeats –

  • activation –

  • with_flatten –

  • dropout_probability –

  • with_batchnorm –

  • with_lrn –

  • lrn_size –

  • batchnorm_momentum –

  • padding (str) – if same, the convolution will be padded with zeros to keep the output shape the same as the input shape

Returns: