python Overview of Q-Learning and Examples of Algorithms and Implementations
Q-Learning
Q-Learning (Q-Learning) is a type of reinforcement learning, an algorithm that allows an agent t...
深層学習:Deep Learning
python アルゴリズム:Algorithms Overview of SSD (Single Shot MultiBox Detector), its algorithm and implementation examples
SSD (Single Shot MultiBox Detector)
The Single Shot MultiBox Detector (SSD) will be one of the deep learning-...
python Overview of the epsilon-greedy method (epsilon-greedy) and examples of algorithms and implementations
Overview of the epsilon-greedy method
The ε-greedy method (ε-greedy) is a simple and effective strategy for...
python Overview of Model Predictive Control (MPC), its algorithms and implementation examples
Overview of Model Predictive Control, MPC
Model Predictive Control (MPC) is a control theory technique that use...
python Overview of LSTM and Examples of Algorithms and Implementations
Overview of LSTM(Long Short-Term Memory)
LSTM (Long Short-Term Memory) is a type of recurrent neural netwo...
python Overview of Markov Decision Processes (MDP) and Examples of Algorithms and Implementations
Overview of Markov Decision Processes (MDP)
Markov Decision Process (MDP, Markov Decision Process) is a mat...
python About ResNet (Residual Network)
ResNet (Residual Network)
ResNet is a deep convolutional neural network (CNN) architecture proposed by Kaimin...
アルゴリズム:Algorithms Overview of FastText and examples of algorithms and implementations
FastText
FastText is an open source library for natural language processing (NLP) developed by Facebook, w...
微分積分:Calculus Overview of the gradient method and examples of algorithms and implementations
Gradient Descent
The gradient method is one of the widely used methods in machine learning and optimization algo...
アルゴリズム:Algorithms Overview of ELMo (Embeddings from Language Models) and its algorithm and implementation
ELMo（Embeddings from Language Models）
ELMo (Embeddings from Language Models) is one of the methods of word...