オンライン学習 Protected: Reinforcement Learning with Function Approximation (3) – Function Approximation for Policy Functions
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深層学習:Deep Learning
オンライン学習 オンライン学習 Protected: Reinforcement Learning with Function Approximation (2) – Function Approximation of Value Functions (For Online Learning)
Theory of function approximation online methods gradient TD learning, least-squares based least-squares TD learning (LSTD), GTD2)for reinforcement learning with a huge number of states used in digital transformation , artificial intelligence , and machine learning tasks, and regularization with LASSO.
アルゴリズム:Algorithms Machine Learning Professional Series Bayesian Deep Learning Reading Notes
Machine Learning Professional Series Bayesian Deep Learning Reading Notes
Writing a reading note from "Bayesi...
最適化:Optimization Machine Learning Professional Series Sparsity-Based Machine Learning Reading Notes
Overview of sparse modeling used for regularization and other applications in machine learning for digital transformation , artificial intelligence , and machine learning tasks.
オンライン学習 Protected: Advanced online learning (4) Application to deep learning (AdaGrad, RMSprop, ADADELTA, vSGD)
Application to online learning in AdaGrad, RMSprop, and vSGD used for digital transformation , artificial intelligence , and machine learning tasks.
オンライン学習 Protected: Advanced online learning (3) Application to deep learning (mini-batch stochastic gradient descent, momentum method, accelerated gradient method)
Improving computational efficiency by applying mini-batch stochastic gradient descent, momentum, and accelerated gradient methods to deep learning for digital transformation , artificial intelligence , and machine learning tasks.
機械学習:Machine Learning Machine Learning Professional Series “Reinforcement Learning” Reading Memo
A reference book on reinforcement learning to observe the current situation and determine what action to take, used in digital transformation ,artificial intelligence , and machine learning tasks.
微分積分:Calculus Machine Learning Professional Series “Online Machine Learning” Reading Memo
Online learning reference books used for digital transformation , artificial intelligence , and machine learning tasks such as sequential processing of large-scale data.
C言語 Protected: MCMC method for calculating stochastic integrals: Algorithms other than Metropolis method (HMC method)
Algorithm and C implementation of the Hybrid Monte Calro method applied to complex stochastic integral calculations for digital transformation and artificial intelligence tasks.
python Protected: Generative Deep Learning with Python and Keras (1) Text generation using LSTM
Text-generating DNN using LSTM with python/keras for digital transformation and artificial intelligence tasks