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 ...

Tensors: As its name suggests Tensors are a crucial aspect of TensorFlow. Think of a tensor as a multi-dimensional array. In TensorFlow, all data is represented as tensors, which are the primary ...

TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the ...

To start building AI models with TensorFlow, it’s important to familiarize yourself with the basics of the framework. This includes understanding key concepts such as tensors, computational graphs, ...

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 ...

Machine learning frameworks like Google’s TensorFlow ease the process of acquiring data, training models, serving predictions, and refining future results. Created by the Google Brain team and ...