Transfer Learning for NLP with TensorFlow Hub

4.8
estrelas
11 classificações
oferecido por
Coursera Project Network
Neste Projeto guiado gratuito, você irá:

Use pre-trained NLP text embedding models from TensorFlow Hub

Perform transfer learning to fine-tune models on real-world text data

Visualize model performance metrics with TensorBoard

Showcase this hands-on experience in an interview

Clock1.5 hours
IntermediateIntermediário
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

This is a hands-on project on transfer learning for natural language processing with TensorFlow and TF Hub. By the time you complete this project, you will be able to use pre-trained NLP text embedding models from TensorFlow Hub, perform transfer learning to fine-tune models on real-world data, build and evaluate multiple models for text classification with TensorFlow, and visualize model performance metrics with Tensorboard. Prerequisites: In order to successfully complete this project, you should be competent in the Python programming language, be familiar with deep learning for Natural Language Processing (NLP), and have trained models with TensorFlow or and its Keras API. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Requisitos

It is assumed that are competent in Python programming and have prior experience with building deep learning NLP models with TensorFlow or Keras

Habilidades que você desenvolverá

Natural Language ProcessingDeep LearningInductive TransferMachine LearningTensorflow

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  1. Introduction and Project Overview

  2. Setup your TensorFlow and Colab GPU Runtime

  3. Download and Import the Quora Insincere Questions Dataset

  4. TensorFlow Hub for Natural Language Processing

  5. Define Function to Build Models

  6. Compile Models

  7. Train Various Text Classification Models

  8. Compare Accuracy and Loss Curves

  9. Fine-tune Model from TF Hub

  10. Train Bigger Models and Visualize Metrics with TensorBoard

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

Avaliações

Principais avaliações do TRANSFER LEARNING FOR NLP WITH TENSORFLOW HUB

Visualizar todas as avaliações

Perguntas Frequentes – FAQ

Perguntas Frequentes – FAQ

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.