Reconciling Data Shapes and Parameter Counts in Keras
Convolutional layers and their cousins the pooling layers are examined for shape modification and parameter counts as functions of layer parameters in Keras/Tensorflow…
Tag Archives: Tensorflow
Word Bags vs Word Sequences for Text Classification
Sequence respecting approaches have an edge over bag-of-words implementations when the said sequence is material to classification. Long Short Term Memory (LSTM) neural nets with words sequences are evaluated against Naive Bayes with tf-idf vectors on a synthetic text corpus for classification effectiveness.