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 ...

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 ...

Mesh TensorFlow (mtf) is a language for distributed deep learning, capable of specifying a broad class of distributed tensor computations. The purpose of Mesh TensorFlow is to formalize and implement ...

TensorFlow Serving is there for you ... Variable was required to use autograd with tensors; now everything is a tensor.) But that’s not to say there haven’t been a few missteps here and ...

Don't mess up tensorflow. We provide no wrapping classes. Instead, we use a tensor itself so that developers can program freely as before with tensorflow. Don't mess up the python style. We believe ...

Google used TensorFlow to build its Magenta project, which aims to advance machine generated art, and recently released a 90-second piano melody created solely by a neural network. This gives an ...