Natural Language Processing on Google Cloud
Natural Language Processing on Google Cloud
These skills were generated by A.I. Do you agree this course teaches these skills?
This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
과정 정보
목표
- Recognize the NLP products and the solutions on Google Cloud.
- Create an end-to-end NLP workflow by using AutoML with Vertex AI.
- Build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow.
- Recognize advanced NLP models such as encoder-decoder, attention mechanism, transformers, and BERT.
- Understand transfer learning and apply pre-trained models to solve NLP problems.
기본 요건
Understanding one or more of the following:
-Machine learning models such as CNN, RNN, DNN, and LSTM
-Basic syntax of Python
-Basic idea of TensorFlow and Keras
대상
- Professional ML engineers, ML developers, data engineers, and data scientists who are in the field of natural language processing
- IT decision makers evaluating the value of NLP brought to the organization
사용할 수 있는 언어
English
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과정을 완료하면 이수 배지가 주어집니다. 배지는 프로필에 표시되며 사회 연결망에서 공유할 수 있습니다.
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Coursera 및 Pluralsight 에서 Google Cloud 콘텐츠를 살펴보세요.
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