By Auto-PyTorch is a framework for automated deep learning (AutoDL) that uses BOHB as a backend to optimize the full deep learning pipeline, including data preprocessing, network training techniques and regularization methods. Auto-PyTorch is the successor of AutoNet which was one of the first frameworks to perform this joint optimization. Since training deep neural networks can be … Continue reading Auto-PyTorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL