tf.nn.conv2d()

tf.nn.conv2d() is a method in TensorFlow used for performing a 2D convolution operation on a given input tensor. It takes as input the input tensor, a filter tensor (also known as a kernel), the strides in each direction, the padding method, and an optional dilation rate. The output of the convolution operation is a tensor with a shape determined by the input shape, filter shape, and padding method. This method is commonly used in image processing and computer vision tasks, such as image recognition and object detection.