Description Usage Arguments Value
keras_sep_cnn
1 2 | keras_sep_cnn(input_dim, embed_dim, seq_len, embed_vectors = NULL,
n_filters = 30, output_fun = "sigmoid", output_dim = 1)
|
input_dim |
Number of unique vocabluary/tokens |
embed_dim |
Number of word vectors |
seq_len |
Length of the input sequences |
n_filters |
the number of convolutional filters |
output_fun |
Output activation function |
output_dim |
Number of neurons of the output layer |
filter_size |
the window size (kernel_size) |
keras model
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