Example: stock market
Character-level Convolutional Networks for Text Classification

Character-level Convolutional Networks for Text Classification

Back to document page

interest. We also insert 2 dropout [10] modules in between the 3 fully-connected layers to regularize. They have dropout probability of 0.5. Table 1 lists the configurations for convolutional layers, and table 2 lists the configurations for fully-connected (linear) layers. Table 1: Convolutional layers used in our experiments.

  Network, Fully, Convolutional, Convolutional networks

Download Character-level Convolutional Networks for Text Classification


Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Other abuse

Advertisement

Related search queries