Peaks of memory required to run experiments on real-life libraries. Data reported in the table shows that GPU-BSM is not very efficient in terms of memory consumption.
Currently, deep learning models are widely used in many classification applications, but their utilization is limited by some factors. The large models can ensure classification of wide range, but the
Peaks of memory required to run experiments on real-life libraries. Data reported in the table shows that GPU-BSM is not very efficient in terms of memory consumption.
