Intro to ML: Language Processing
Introductory 5 Steps 시간 13 크레딧
It’s no secret that machine learning is one of the fastest growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to language processing by taking labs that will enable you to extract entities from text, and perform sentiment and syntactic analysis as well as use the Speech to Text API for transcription.
In this lab you train and deploy a TensorFlow model to Cloud ML Engine for serving (prediction). Watch these short videos Harness the Power of Machine Learning with Cloud ML Engine and Cloud ML Engine: Qwik Start - Qwiklabs Preview.
Google Cloud Speech API는 음식 인식을 개발자의 앱에 통합합니다. 이제 오디오 파일을 전송하고 변환된 텍스트를 받을 수 있습니다. 간단한 동영상 Powerful Speech Recognition Using Google Machine Learning(Google 머신러닝을 활용한 강력한 음성 인식) 및 Google Cloud Speech: Qwik Start - Qwiklabs Preview(Google Cloud 음성: Qwik Start - Qwiklabs)를 시청하세요.
Cloud Natural Language API를 사용하면 항목을 추출하고 텍스트에 대해 감정 및 구문 분석을 실행할 수 있습니다. 간단한 동영상 Gain Valuable Insights from Text with Cloud Natural Language(Cloud Natural Language로 텍스트로부터 유용한 정보 확보하기) 및 Cloud Natural Language: Qwik Start - Qwiklabs Preview(Cloud Natural Language: Qwik Start - Qwiklabs 미리보기)를 시청하세요.
The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.
The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.