Mini Batch

アルゴリズム:Algorithms

Protected: Hidden Markov model building and structured variational inference in Bayesian inference

Hidden Markov model building and structured variational inference (mini-batch, structured variational inference, fully decomposed variational inference, additional learning, underflow, message passing, exact inference algorithms, forward-backward algorithms, approximate distribution of parameters) in Bayesian inference for digital transformation, artificial intelligence, machine learning tasks.
Clojure

Protected: Stochastic gradient descent implementation using Clojure and Hadoop

Stochastic gradient descent implementation using Clojure and Hadoop for digital transformation, artificial intelligence, and machine learning tasks (mini-batch, Mapper, Reducer, Parkour, Tesser, batch gradient descent, join-step Partitioning, uberjar, Java, batch gradient descent, stochastic gradient descent, Hadoop cluster, Hadoop distributed file system, HDFS)
推論技術:inference Technology

Protected: Convolutional Neural Networks (1) Forward and Reverse Propagation Algorithms and Mini-Batch

Forward and back propagation algorithms and mini-batches as the basis for algorithms in DNNs that can be used for digital transformation and artificial intelligence tasks.
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