I'm new in convolutional neural networks and in Tensorflow and I need to implement a conv layer with further parameters:
Conv. layer1: filter=11, channel=64, stride=4, Relu.
The API is following:
tf.nn.conv2d(input, filter, strides, padding, use_cudnn_on_gpu=None, data_format=None, name=None)
I understand, what is stride and that it should be [1, 4, 4, 1] in my case. But I do not understand, how should I pass a filter parameter and padding. Could someone help with it?