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OverviewThe Cloud Natural Language API lets you extract entities from text, perform sentiment and syntactic analysis, and classify text into categories.In this lab, you learn how to use the Natural Language API to analyze entities, sentiment, and syntax. ObjectivesIn this lab, you will learn how to:Create a Natural Language API request and calling the API with curlExtract entities and running se..

The Cloud Natural Language API is a cloud-based service that provides natural language processing capabilities. It can be used to analyze text, identify entities, extract information, and answer questions. Cloud Natural Language API featuresEntity Recognition: Identify entities in text, such as people, places, and things.Sentiment Analysis: Analyze the sentiment of text, such as whether it is po..

1. Create an API keyapi key를 생성한 후 SSH 서버에 연결config, you tell the Speech-to-Text API how to process the request. The encoding parameter tells the API which type of audio encoding you're using while the file is being sent to the API. FLAC is the encoding type for .raw files. The transcript value will return the Speech-to-Text API's text transcription of your audio file, and the confidence value i..

I used BigQuery for data processing and exploratory data analysis and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value.  Vertex AI is Google Cloud's next generation, unified platform for machine learning development and the successor to AI Platform ➡️ you can leverage the latest ML pre-built components and AutoML 실제 클라우드 서비스에서 hand..

0. Abstractunlabel된 text는 아주 많지만, labeled data for learning specific tasks is scarce이런 unlabeled된 데이터를 버리지 않고generative pre-training of a language model on a diverse corpus of unlabeled text 와 그와 더불어discriminative fin-tuning on each specific task 를 사용해 성과를 냈다.task-aware input transformations 의 pretraining -> fine-tuning 하는 과정에서 model architecture는 최소한으로 변경했다. 특히 general task-agnostic model에서 특정 ..