Text Classification Using Word2Vec and LSTM on Keras

oferecido por
Coursera Project Network
Neste Projeto guiado gratuito, você irá:

Learn how to create a Text Classifier using Word Embeddings and LSTM on Tensorflow & Keras.

Showcase this hands-on experience in an interview

Clock2 hours
IntermediateIntermediário
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

In this 2-hour long project-based course, you will learn how to do text classification use pre-trained Word Embeddings and Long Short Term Memory (LSTM) Neural Network using the Deep Learning Framework of Keras and Tensorflow in Python. We will be using Google Colab for writing our code and training the model using the GPU runtime provided by Google on the Notebook. We will first train a Word2Vec model and use its output in the embedding layer of our Deep Learning model LSTM which will then be evaluated for its accuracy and loss on unknown data and tested on few samples. 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

Knowledge of Python programming.

Knowledge of Deep Learning & Machine Learning Concepts.

Some familiarity of Deep Learning Frameworks in Python.

Habilidades que você desenvolverá

Deep LearningWord2vecPython ProgrammingLong Short-Term Memory (ISTM)keras

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 & Setting up Google Colab

  2. Loading the Dataset

  3. Preprocessing the Data for Word2Vec

  4. Training the Word2Vec model

  5. Testing the Word2Vec Model

  6. Preparing data for LSTM

  7. Training the LSTM model

  8. Evaluating the LSTM model

  9. Plotting the model performance metrics

  10. Testing the model performance

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

Perguntas Frequentes – FAQ

Perguntas Frequentes – FAQ

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