Performance Model, Deliverable D2.4 Final Release and Evaluation of the AI-SPRINT Design Tools.

This repository includes the code and results of analysis for predicting unseen layers of the same network and predicting new unseen networks reported in Deliverable D2.4 Final Release and Evaluation of the AI-SPRINT Design Tools<strong>. </strong>The folder is organised as follows: - **pareto** contains the results of the profiling of the networks trained and validated on CIFAR-10 - **pareto_onnx** contains the results of the profiling of the networks trained and validated on MNIST - The folders "**network_to_network**" contain the models trained using aMLLibrary for the analysis on unseen networks done using Eduard's data. - **notebook-B5.ipynb** contains the code to perform the analysis on B and C networks - **nextLayerPrediction.ipynb** contains the code to perform the prediction of unseen layers of the same network - **allLayerPrediction.ipynb** contains the code for the analysis on unseen networks