Скачать или смотреть Interactively Build Experiments to Fine-Tune and Compare Deep Learning Networks

Experiment Manager is a point-and-click tool for training, fine-tuning, and explaining your deep learning networks under a variety of initial conditions. See how you can use deep learning experiments to:
• Sweep through a range of hyperparameter values to train a deep network
• Compare the results of using different data sets to train a network
• Test different deep network architectures by reusing the same set of training data on several networks
• Fine-tune results using parallel computing and Bayesian optimization (R2020b feature)
• Determine conditions for reproducing optimal networks

Check out the second video in this series - How to Set Up Your Own Deep Learning Experiments:    • How to Set Up Your Own Deep Learning Exper...  

AI, Machine Learning, Data Science | Developer Tech Showcase:    • AI, Machine Learning, Data Science | Devel...  
Tips and Tricks from MATLAB and Simulink Developers:    • Tips and Tricks from MATLAB and Simulink D...  

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