アルゴリズム:Algorithms Protected: Bayesian Deep Learning – Introduction
Overview of Bayesian deep models, an evolution of deep learning and probabilistic generative models.
深層学習:Deep Learning
アルゴリズム:Algorithms 推論技術:inference Technology Protected: An overview of the expert integration problem in online forecasting and its implementation in Regret
Overview of online predictive learning for solving sequential prediction problems, introduction to Regret
アルゴリズム:Algorithms Protected: Reinforcement Learning Overview
An overview of reinforcement learning for learning sequential decision rules
機械学習:Machine Learning Protected: Natural Language Processing with Deep Learning (1) Data Representation Model
Overview of natural language processing by deep learning, one-hot vector, distributed representation
微分積分:Calculus Word2Vec
An overview of Wprd2Vec, an application of deep learning models to natural language processing.
R Principle Component Analysis (PCA)
Theoretical overview of Principal Component Analysis and its implementation in R
機械学習:Machine Learning Where do feature quantities come from?
人工知能の基礎、深層学習の祖ヒントンの論文による特徴量の分散表現、特徴量の分散表現、深層学習とオートエンコーダー
python Installing python development environment and tensorflow package on mac
Installing python development environment and tensorflow package on mac
機械学習:Machine Learning autoencoder
Overview of deep learning techniques for teaching beginners, auto-encoder techniques
機械学習:Machine Learning Overview of deep learning methods
Overview of deep learning for beginners, classification by the Artificial Intelligence Society, hierarchical neural networks, coders, restricted Boltzmann machines.