![]() With the layer input to produce a tensor ofĪ bias vector is created and added to the outputs. Conv2D 2D(filters, kernel_size, strides=(1, 1), padding='valid', data_format=None, dilation_rate=(1, 1), activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None)ĢD convolution layer (e.g. bias_constraint: Constraint function applied to the bias vectorģD tensor with shape: (batch_size, steps, input_dim)ģD tensor with shape: (batch_size, new_steps, filters) steps value might have changed due to padding or strides.kernel_constraint: Constraint function applied to the kernel matrix.The output of the layer (its "activation"). activity_regularizer: Regularizer function applied to.bias_regularizer: Regularizer function applied to the bias vector.kernel_regularizer: Regularizer function applied to.bias_initializer: Initializer for the bias vector.kernel_initializer: Initializer for the kernel weights matrix.use_bias: Boolean, whether the layer uses a bias vector.If you don't specify anything, no activation is applied Incompatible with specifying any strides value != 1. ![]() The dilation rate to use for dilated convolution.Ĭurrently, specifying any dilation_rate value != 1 is
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