Examples of using Tensor processing unit in English and their translations into Chinese
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Tensor Processing Unit.
It is the first TPU(Tensor Processing Unit) device.
Tensor Processing Unit.
TPU v3 is the latest generation of Google's Tensor Processing Unit(TPU) hardware.
A Tensor Processing Unit.
Meanwhile Google has built it's own AI semiconductors,called Tensor Processing Units, and is already letting customers use them.
Tensor Processing Unit 3.0.
Recently, Google invented TPUs(Tensor Processing Units) specifically for that purpose.
To tune a deep learning model correctly requires immense data sets,graphic processing units or tensor processing units, and time.
The excitement around Google's TPU(Tensor Processing Unit) is a case in point, but the TPU is really just the beginning.
Bfloat16 was originally developed originally by Google andimplemented in its third generation Tensor Processing Unit(TPU).
Google's tensor processing unit(TPU) runs all of the company's cloud-based deep learning apps and is at the heart of the AlphaGo AI.
In 2016,Google announced that it had created a custom chip called a Tensor Processing Unit(TPU) specifically for neural network operations.
To respond, of course, Google has been developing its own line of machine learning chips,the"Tensor Processing Unit.".
In May 2016, Google announced its Tensor processing unit(TPU), an ASIC built specifically for machine learning and tailored for TensorFlow.
In 2016 the company released thefirst generation of a new processor it calls the tensor processing unit(TPU).
One example is Tensor Processing Units(TPUs), which are integrated circuits designed to accelerate applications using TensorFlow.
Google is using its own Application-Specific Integrated Circuit,which it calls a Tensor Processing Unit, to support its machine-learning efforts.
Pichai began to talk about Tensor Processing Units, which are superior to CPU and GPU performance in artificial intelligence processing. .
First up is the Coral Accelerator Module,a multi-chip package that sports Google's custom-designed Edge tensor processing unit(TPU).
A trailblazing example is the Google's tensor processing unit(TPU), first deployed in 2015, and that provides services today for more than one billion people.
First up is the Coral Accelerator Module,a multi-chip package that sports Google's custom-designed Edge tensor processing unit(TPU).
Google has its Tensor Processing Unit(TPU), with one core per chip and software-controlled memory instead of caches; Nvidia's GPU has 80-plus cores;
If it comes to fruition, the strategy would be similar to chips introduced by competing manufacturers,including Google and its Tensor Processing Unit.
But Google also offers unique hardware, with the Tensor Processing Unit(TPU), crowdsourcing with Kaggle, and a range of other offerings.
These networks use a lot of the same type of arithmetic,which can be optimised using GPUs and Googles own Tensor Processing Unit(TPU).
For instance, domain-specific architectures, such as Google's new Tensor Processing Unit used specifically for neural networks, are now being built but aren't widely understood.
In June, Google also announced that artificial intelligence developers would beable to rent Google Cloud's TPU or Tensor Processing Unit chips by the hour.
Right now, Nvidia's GPUs are driving machine learning, andGoogle has also built a custom chip called TPU(Tensor Processing Unit) specifically for machine learning.
Engineers lean on Google infrastructure,including the tech giant's network of data centers and Google-developed tensor processing unit chips to test machine learning models.