word2vec


This dataset is a small pre-trained word2vec dataset with 20 dimensions and 5296 words.


datasets

Implementation of 'softmax' regression and classification models with multiple layer neural network. It can be used for many tasks like word embedding based document classification, 'MNIST' dataset handwritten digit recognition and so on. Multiple optimization algorithm including 'SGD', 'Adagrad', 'RMSprop', 'Moment', 'NAG', etc are also provided.

Xichen Ding

softmaxreg

Training Multi-Layer Neural Network for Softmax Regression and
Classification

word2vec function

A data frame with 12853 observations on the following 21 variables.
  <dl> </dl> 

Format

 Reuter_50_50 dataset,UCI Machine Learning Repository[https://archive.ics.uci.edu/ml/datasets/Reuter_50_50]

word2vec: Pre-trained Word2vec Dataset from Corpus

Description

Usage

Arguments

Format

Source

References

Examples