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Natural Language Processing on Google Cloud

Natural Language Processing on Google Cloud

magic_button TensorFlow Machine Learning Models Attention Mechanism
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8 heures Intermédiaire

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.

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info
Informations sur le cours
Objectifs
  • 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.
Prérequis
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
Cible
- 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
Langues disponibles
English

La puissance des ateliers challenge

Vous pouvez désormais obtenir un badge de compétence sans avoir à suivre l'intégralité du cours. Si vous êtes sûr de vos compétences, passez directement à l'atelier challenge.

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