Think of a tensor as a multi-dimensional array. In TensorFlow, all data is represented as tensors, which are the primary data structures that are used to represent and manipulate data in TensorFlow.

This repository aims to offer a multidimensional recurrent function, implemented in tensorflow 2.0 with Keras API, that can be used by multiple recurrent cells (RNN/GRU/LSTM). As best of my knowledge ...

They are similar to multi-dimensional arrays or matrices but are more general in nature. A tensor is a mathematical concept that can represent scalars (0-dimensional tensors), vectors (1-dimensional ...

This includes understanding key concepts such as tensors, computational graphs, and sessions. Tensors are multidimensional arrays that serve as the fundamental data structure in ... CNNs in TensorFlow ...

In the machine learning literature, a tensor is simply a synonym for multi-dimensional array. TensorFlow includes eager execution where code is examined step by step making it easier to debug. Tensor ...

Abstract: Contrast enhancement is an important preprocessing technique for improving the performance of downstream tasks in image processing and computer vision. Among the existing approaches based on ...

Contrast enhancement is an important preprocessing technique for improving the performance of downstream tasks in image processing and computer vision. Among the existing approaches based on nonlinear ...