In TensorFlow, a 4D tensor represents a multidimensional array, where the dimensions are organized in a specific order. A 4D tensor is commonly used to store and process data in the form of images or video frames.
The dimensions of a 4D tensor typically correspond to the following:
For example, a 4D tensor with dimensions [batch_size, height, width, channels] could represent a batch of images, where each image has a specific height, width, and number of channels.
TensorFlow provides various operations and functions to manipulate and process 4D tensors efficiently, such as convolutional layers for image processing tasks in deep learning models.