tfTensors
tfTensors is a term that refers to tensors within the TensorFlow deep learning framework. Tensors are the fundamental data structures used in TensorFlow, representing multi-dimensional arrays of numbers. They are analogous to NumPy arrays but are designed to work efficiently with hardware accelerators like GPUs and TPUs, enabling faster computation for machine learning tasks.
A tfTensor can have any number of dimensions, from zero-dimensional scalars to higher-dimensional structures. Each dimension
Operations performed on tfTensors are at the core of building and training neural networks. These operations
The concept of tfTensors is essential for anyone working with TensorFlow for tasks like image recognition,