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: CNN
Convolution Nets For Sentiment Analysis
In our last article, we were getting some really good results with CNN when we used a custom text corpus. But will CNN manage to hold onto its lead when it competes with SVM in the battle of sentiment analysis, let’s find that out…
Sequence Based Text Classification with Convolution Nets
Earlier with the bag of words approach we were getting some really good text classification results. But will that hold, when we take into consideration the sequence of words? There is only one way to find out, let’s get right into the action, where we are doing a head on comparison of traditional approach (Naive Bayes) with a modern neural based one (CNN).