Load Training Data defines image datastores containing the training and validation data for the experiment. For instance, this project has two experiments, each of which has The Experiment Browser pane displays the hierarchy of experiments and For more information, see Use Experiment Manager to Train Networks in Parallel and Offload Experiments as Batch Jobs to Cluster. Parallel Server™, you can also offload experiments as batch jobs in a remote cluster so that youĬan continue working or close your MATLAB session during training. Run a single trial at a time on multiple GPUs, on a cluster, or in the cloud. If you have Parallel Computing Toolbox™, you can configure your experiment to run multiple trials at the same time or to You can store several experiments in the same project.Įach experiment contains a set of results for each time thatĮach set of results consists of one or more trialsĬorresponding to a different combination of hyperparameters.īy default, Experiment Manager runs one trial at a time. To keep track of the hyperparameter combinations that produce each of your results.Įxperiment Manager organizes your experiments and results in projects. You can access past experiment definitions Manager stores a copy of the experiment definition. To improve reproducibility, every time that you run an experiment, Experiment Matrices, filters to refine your experiment results, and annotations to record your Sequence classification, audio classification, semantic segmentation, and custom trainingĮxperiment Manager provides visualization tools such as training plots and confusion TheĮxperiment templates support workflows that include image classification and regression, To set up your experiment quickly, you can start with a preconfigured template. The trainNetwork function requires Deep Learning Toolbox™.Ĭompare the results of using different data sets or test different deep network Use the built-in function trainNetwork or define your own custom trainingįunction. Bayesian optimization requires Statistics and Machine Learning Toolbox™. Sweep through a range of hyperparameter values or use Bayesian optimization to find
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