项目作者: mekhod

项目描述 :
The text data of 25000 labeled (positive and negative) IMDB reviews are processed and used to train a deep neural network model using Keras.
高级语言: HTML
项目地址: git://github.com/mekhod/imdb_rating.git
创建时间: 2017-10-31T03:56:55Z
项目社区:https://github.com/mekhod/imdb_rating

开源协议:

下载


IMDB_rating practice project

Project Overview:

In this practice project a labeled IMDB review dataset (positive or negative) is used to train a deep nueral network binary classifier.

Steps:

  • The dataset is loaded and preprocessed using the Tokenizer method available in keras.preprocessing.text.
  • A deep neural network architecture (consisting of two fully connected dense layers and a sigmoid layer) is constructed.
  • The model is trained and the best model weights are stored.
  • The model with the best model weights are constructed and is evaluated against the test dataset.

Results:

  • An accuracy of over 86% is achieved.