What is Keras Conv2D?
Keras Conv2D is a 2D Convolution layer. This creates a convolution kernel that is wind with layers input which helps produce a tensor of outputs. What is Keras Conv2D? The Keras Conv2D class constructor has the following arguments: filters It is an integer value and also determines the number of output filters in the convolution. kernel size An integer or tuple/list of 2 integers, specifying the height and width of the 2D convolution window. Can be a single integer to specify the same value for all spatial dimensions. Common dimensions include 1x1, 3x3, 5x5, 7x7 which can be passed as (1,1), (3,3), (5,5) or (7,7) tuples. strides An integer or tuple/list of 2 integers, specifying the strides of the convolution along the height and width. Can be a single integer to specify the same value for all spatial dimensions. Its default value is always set to (1x1) which means that the given Conv2D filter is applied to the current location of the input volume...