Transfer Learning for NLP with TensorFlow Hub

13 calificaciones
ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

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

Clock1.5 hours
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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.

Habilidades que desarrollarás

Natural Language ProcessingDeep LearningInductive TransferMachine LearningTensorflow

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  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

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso



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