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…
Monthly Archives: June 2019
Flowing Tensors and Heaping Parameters in Deep Learning
Formulae for trainable parameter counts are developed for a few popular layers as function of layer parameters and input characteristics. The results are then reconciled with what Keras reports upon running the model…