深層学習:Deep Learning

IOT技術:IOT Technology

Extraction of emotions through speech and image recognition, natural language processing and biometric analysis

Introduction Various models for emotion recognition have been proposed, as described in "Emotion recognition...
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Overview of TD3 (Twin Delayed Deep Deterministic Policy Gradient), algorithms and implementation examples.

  Overview of TD3 (Twin Delayed Deep Deterministic Policy Gradient) TD3 (Twin Delayed Deep Deterministic Poli...
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About Deep RNN

Overview of Deep RNN Deep RNN (Deep Recurrent Neural Network) is a type of recurrent neural network (RNN),...
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Overview of Double Q-Learning and Examples of Algorithms and Implementations

  Over view of Double Q-Learning Double Q-Learning is a type of Q-Learning described in "Overview of Q-Learni...
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Overview of counterfactual virtual learning using graph neural networks, related algorithms and implementation examples.

Overview of counterfactual virtual learning using graph neural networks. Counterfactual learning (counterf...
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Bidirectional RNN(BRNN)

Overview of Bidirectional RNN(BRNN) Bidirectional Recurrent Neural Network (BRNN) is a type of recurrent n...
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Overview of Trust Region Policy Optimization (TRPO), its algorithms and example implementations

  Overview of Trust Region Policy Optimization (TRPO) Trust Region Policy Optimization (TRPO) is a reinforcem...
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Overview of GRUs and examples of algorithms and implementations

Overview of GRU(Gated Recurrent Unit) GRUs (Gated Recurrent Units) are a type of recurrent neural network ...
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Overview of Drift-detection-based Inverse Reinforcement Learning and examples of algorithms and implementations

  Overview of Drift-based Inverse Reinforcement Learning Drift-detection-based Inverse Reinforcement Learning...
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Overview of Bayesian Neural Networks and Examples of Algorithms and Implementations

Bayesian Neural Networks Bayesian neural networks (BNNs) are architectures that integrate probabilistic el...
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