深層学習:Deep Learning

python

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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Overview of proposal networks and examples of algorithms and implementation

Proposal network overview A proposal network is a type of neural network used mainly in computer vision and i...
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Bidirectional LSTM Overview, Algorithm and Implementation Examples

Overview of Bidirectional LSTM Bidirectional LSTM (Long Short-Term Memory) is a type of recurrent neural n...
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Overview of Feature-based Inverse Reinforcement Learning and examples of algorithms and implementations.

  Overview of Feature-based Inverse Reinforcement Learning Feature-based Inverse Reinforcement Learning (Feat...
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Overview of OpenNMT and examples of algorithms and implementations.

Overview of OpenNMT OpenNMT (Open-Source Neural Machine Translation) is an open source platform for neural...
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Overview of anchor boxes in object detection and related algorithms and implementation examples.

Overview of anchor boxes in object detection Anchor boxes in object detection is a concept widely used in con...
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Overview of GNMT (Google Neural Machine Translation) and examples of algorithms and implementations.

Overview of GNMT(Google Neural Machine Translation) GNMT (Google Neural Machine Translation) is a neural m...
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