Overview of GPT and examples of algorithms and implementations
Overview of GPT
GPT (Generative Pre-trained Transformer) is a pre-trained model for natural language process...
深層学習:Deep Learning
Overview of Proximal Policy Optimization (PPO) and examples of algorithms and implementations
Overviews of Proximal Policy Optimization (PPO)
Proximal Policy Optimization (PPO) is a type of reinforceme...
Overview of EfficientDet and examples of algorithms and implementations
EfficientDet
EfficientDet will be one of the computer vision models with high performance in the object detec...
Overview of Soft Actor-Critic (SAC) and examples of algorithms and implementations
Overview of Soft Actor-Critic (SAC)
Soft Actor-Critic (SAC) is a type of Reinforcement Learning algorithm t...
Overview of Mask R-CNN and examples of algorithms and implementations
Mask R-CNN
Mask R-CNN (Mask Region-based Convolutional Neural Network) is a deep learning-based architecture ...
Subword-level tokenization
Subword-level tokenization
Subword-level tokenization is a natural language processing (NLP) approach that...
Overview of Deep Q-Network (DQN) and examples of algorithms and implementations
Overview of Deep Q-Network (DQN)
Deep Q-Network (DQN) is a method that combines deep learning and Q-Learnin...
Board Games and AI “Why Alpha Go Could Beat Humans” Reading Notes
Introduction
AlphaGo, a computer Go program developed by Google DeepMind, became the first computer Go prog...
Overview of Dueling DQNs and Examples of Algorithms and Implementations
Overview of Dueling DQN
Dueling Deep Q-Network (DQN) is an algorithm based on Q-learning in reinforcement l...
Overview of Prioritized Experience Replay and Examples of Algorithms and Implementations
Prioritized Experience Replay(PER)
Prioritized Experience Replay (PER) is a technique for improving Deep Q-...