深層学習:Deep Learning

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.
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