深層学習:Deep Learning

python

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...
python

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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Actor-Critic Overview, Algorithm and Implementation Examples

  Overview of Actor-Critic Actor-Critic is an approach to reinforcement learning that combines policies (poli...
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Overview of DynamicTriad and examples of algorithms and implementations

DynamicTriad Overview DynamicTriad is one of the models used in the field of Social Network Analysis (SNA)...
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Overview of REINFORCE (Monte Carlo Policy Gradient), its algorithm and examples of implementation

  Overview of REINFORCE (Monte Carlo Policy Gradient) REINFORCE (or Monte Carlo Policy Gradient) is a type of...
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Overview of Interaction Networks used in physical simulation and examples of related algorithms and implementations.

Overview of Interaction Networks used for physical simulation. Interaction Networks (INs) will be a networ...
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