An organization is searching for an open-source machine learning platform to build and deploy their own custom machine learning applications using TPUs.
Which Google Cloud product or service should the organization use?
An organization is searching for an open-source machine learning platform to build and deploy their own custom machine learning applications using TPUs.
Which Google Cloud product or service should the organization use?
The correct answer is TensorFlow. TensorFlow is an open-source machine learning framework that is widely used to build and deploy custom machine learning applications. It is compatible with TPUs, which are Google's custom-designed machine learning accelerators. The other options do not fit the requirement of being an open-source machine learning platform suitable for building and deploying custom machine learning applications using TPUs.
TensorFlow is an open-source machine learning framework that can be used to build and deploy custom machine learning applications. It is also compatible with TPUs, which are Google's custom-designed machine learning accelerators. The other options are not as suitable for this scenario. Option B, BigQuery ML, is a machine learning service that can be used to build and deploy machine learning models, but it is not compatible with TPUs. Option C, Vision API, is a machine learning API that can be used to extract information from images, but it is not a platform for building and deploying custom machine learning applications. Option D, AutoML Vision, is a machine learning service that can be used to build and deploy machine learning models for image classification, but it is not compatible with TPUs.
TPU = TensorFlow = TPU = TensorFlow! Admin, please correct the selected answer!
For building and deploying custom machine learning applications using TPUs, the organization can consider using Google Cloud's TensorFlow platform. TensorFlow is an open-source machine learning framework that provides comprehensive support for developing and deploying machine learning models, including integration with TPUs (Tensor Processing Units).
Tenserflow
If you read the question completely, It says which Google Cloud product. Though TPUs goes with TensorFlow; in GCP, AutoML Vision is the product to achieve the mentioned requirement in the question.
It says open-source, however. AutoML is not open-source, Tensorflow is
But also it says machine learning platform, however, Tensorflow is not a platform nor is in GCP.
TPUs are a google product. You can only access TPUs through google as they developed them
TensorFlow is a free and open-source software library for machine learning and artificial intelligence. TPUs used for TensorFlow
TPU = tensorflow. So many wrong answers on this module :(
D is correct
D is correct. TensorFlow is an open-source machine learning framework.
A is correct. (Tensorflow)
AutoML Vision is limited to pictures only. It does not say anywhere in the question that ML training is needed for pictures. Because it does not mention the type of data needed to be processed I consider A the right answer, it is general and covers all scenarios. At a certain point, all 3 google products listed below (B,C and D) are using TensorFlow.
TensorFlow is an open-source machine learning platform that can be used to build and deploy custom machine learning applications.
whoever manages the answers, needs to sit for the exam, they probably will fail..When we talk about OPEN-Source using TPUs it's Tensorflow.
Bro, TPU = TensorFlow, this answer is weird.
TensorFlow is the correct answer for me
even Gemini says TensorFlow
TPU is the keyword so Tensorflow is the correct answer. AutoML Vision is not correct because it is used to build custom models based on images plus there are no mention of images.