overview

機械学習:Machine Learning

Protected: Speech Recognition: Overview and Application of Dynamic Programming (DP)

Overview of speech recognition techniques that can be used for digital transformation and artificial intelligence tasks, and recognition techniques using dynamic programming (DP) methods (DP matching, beam search, word spotting, two-stage DP matching, level building method, one-pass DP matching)
機械学習:Machine Learning

Dealing with the meaning of symbols on a computer

An overview of the steps to handle the meaning of symbols in computers used for digital transformation and artificial intelligence tasks.
python

Python and Machine Learning

Overview of Python, a programming language used in digital transformation , artificial intelligence , and machine learning
推論技術:inference Technology

Protected: Convolutional Neural Networks (2) CNN Overview and Implementation

Overview of convolutional neural networks, a deep learning technique used for image recognition.
推論技術:inference Technology

Protected: Local Features (3) About Various Descriptors(SIFT,SURF,BRIEF,BRISK,HGO,GIST)

Overview of local descriptors (SIFT descriptors, CNN, SURF descriptors, BRISK descriptors, HLAC descriptors, GIST descriptors) for local feature extraction, which is the first step in image recognition for use in digital transformation (DX) and artificial intelligence (AI) tasks.
プログラミング言語:Programming Language

Programming Languages(2)

Overview of programming languages. Front-end and back-end languages, principles and requirement specifications.
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