Using the TensorFlow architecture, training is generally done on a desktop or in a data center. In both cases, the process is sped up by placing tensors on the GPU. Trained models can then run on a range of platforms, from desktop to mobile and all the way to cloud. TensorFlow also c...
TensorFlow is an open-source software library that allows developers to create dataflow graphs. Build the models by learning its architecture, working, and more.
Google released TensorFlow as an open source technology in 2015 under an Apache 2.0 license. Since then, the framework has gained a variety of adherents beyond Google. For example, TensorFlow tooling is supported as add-on modules to machine learning and AI development suites from IBM, Microsoft...
【tensorflow】浅谈什么是张量tensor 也许你已经下载了TensorFlow,而且准备开始着手研究深度学习。但是你会疑惑:TensorFlow里面的Tensor,也就是“张量”,到底是个什么鬼?也许你查阅了维基百科,而且现在变得更加困惑。也许你在NASA教程中看到它,仍然不知道它在说些什么?问题在于大多数讲述张量的指南,都假设你已经掌握他们...
While writing TensorFlow code, you usually work with a Tensor object called tf.Tensor. This object is a representation of a partially defined computation, which will produce a value at the end. Tensor is identified by its rank. The rank of Tensor is nothing but its number of dimensions. Ten...
A tensor processing unit (TPU) is an application-specific integrated circuit (ASIC) specifically designed to accelerate high-volume mathematical and logical processing tasks typically involved with machine learning (ML) workloads. Google designed the tensor ASIC, using TPUs for in-house neural network...
TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.
What is tensorflow flatten? Tensorflow flatten is the function available in the tensorflow library and reduces the input data into a single dimension instead of 2 dimensions. While doing so, it does not affect the batch size. For example, suppose that we pass the input shape described as (siz...
print("Variable a is {}".format(a_out)) 值得一提的是,TensorFlow有一个极好的可视化工具TensorBoard,详见官方文档。将上面例子的graph可视化之后的结果为:  ...
TensorFlow is designed with 2 key concepts, Tensor and Flow, as described below. 1. Tensor - A tensor is a multidimensional array with elements of the same data type. A tensor is also called a multidimensional matrix, or vector. 2. Flow (Tensor Flow Graph) - A Tensor Flow Graph is a...