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. 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