Systèmes autonomes et de contrôle

Enrichir des workflows de Deep Learning avec des applications de Reinforcement Learning, de maintenance prédictive et de navigation autonome

Utilisez Deep Learning Toolbox™ pour intégrer le Deep Learning à des applications de Reinforcement Learning, de maintenance prédictive et de navigation autonome.

Exemples présentés

Train DDPG Agent to Control Sliding Robot

Train a reinforcement learning agent to control a flying robot model.

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Train Biped Robot to Walk Using Reinforcement Learning Agents

Train a reinforcement learning agent to control a biped walking robot modeled in Simscape™ Multibody™.

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Generate Synthetic Signals Using Conditional GAN

Use a conditional generative adversarial network to produce synthetic data for model training.

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Chemical Process Fault Detection Using Deep Learning

Use simulation data to train a neural network than can detect faults in a chemical process.

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Rolling Element Bearing Fault Diagnosis Using Deep Learning

Perform fault diagnosis of a rolling element bearing using a deep learning approach.

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Systèmes autonomes et de contrôle

Catégories

Exemples présentés

Train DDPG Agent to Control Sliding Robot

Train Biped Robot to Walk Using Reinforcement Learning Agents

Generate Synthetic Signals Using Conditional GAN

Chemical Process Fault Detection Using Deep Learning

Rolling Element Bearing Fault Diagnosis Using Deep Learning