image recognition

Protected: Deep Learning for Computer Vision with Python and Keras(1) – Convolution and Pooling

Overview of convolution and pooling in pyhton/keras/CNN for image recognition using deep learning for digital transformation and artificial intelligence tasks.

python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning画像認識技術

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検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Protected: Classification (2) Optimization process(Gradient Descent Method, Newton’s Method, Perceptron, SVM)

Classification techniques for image recognition for use in digital transformation (DX) and artificial intelligence (AI), perceptron, squared loss (Adakine algorithm), SVM (SGD-SVM algorithm)

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Protected: Classification (1) Algorithm of the classifier(Bayes Decision Rule)

Overview of Classification Algorithms for Image Recognition Used in Digital Transformation (DX) and Artificial Intelligence (AI) (Probabilistic Approach)

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Protected: Coding and pooling (BoVW、GMM)

Specific methods of coding and pooling to integrate local features of image recognition into vectors that can be used for digital transformation (DX) and artificial intelligence (AI) (BoVW, mixture Gaussian distribution (GMM), GMM supervector, Fisher vector, VLAD, VLAT).

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Statistical Feature Extraction(PCA,LDA,PCS,CCA)

Statistical feature extraction (Principal Component Analysis (PCA), Whitening, Fisher Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Partial Least Squares (PLS)) for robust local feature extraction in image recognition used in digital transformation (DX) and artificial intelligence (AI).

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

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.

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Protected: Overview of Image Recognition (1) History and overview of image recognition technology

History and overview of image recognition technology used in AI and DX

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

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