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
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.