画像認識技術

アルゴリズム:Algorithms

Protected: Support vector machines for unsupervised learning

Application of support vector machines for digital transformation, artificial intelligence, and machine learning tasks (1-class SVM with nu-SV classification algorithm for unsupervised classification used for anomaly detection)
IOT技術:IOT Technology

Protected: State Space Modeling with R – using dlm and KFAS (1) Basic analysis using dlm

Analysis using dlm on real data (quarterly sales volume data of products) in the analysis of time-series data (on data prediction and filtering and smoothing) used in digital transformation, artificial intelligence , and machine learning tasks.
アルゴリズム:Algorithms

Protected: Regression Analysis with Support Vector Machines (2) Approach to Nonlinear Regression Problems

Approaches to nonlinear regression problems with support vector machines (quantile regression, kernel quantile regression, heterogeneous distribution models, ε-insensitive loss functions) utilized in digital transformation, artificial intelligence, and machine learning tasks.
地理空間情報処理

Machine Learning Professional Series – Relational Data Learning Post-Reading Notes

Overview of relational data learning to extract the meaning and knowledge behind information used in digital transformation , artificial intelligence , and machine learning tasks.
python

Protected: Evolving Deep Learning with PyTorch(OpenPose, SSD, AnoGAN, Efficient GAN, DCGAN, Self-Attention GAN, BERT, Transformer, GAN, PSPNet, 3DCNN, ECO)

OpenPose, SSD, AnoGAN, Efficient GAN, DCGAN, Self-Attention GAN, BERT, Transformer, GAN using pytorch for Digital Transformation and Artificial Intelligence tasks, PSPNet,3DCNN,ECO and other advanced DNNs
python

Protected: Advanced deep learning with Python and Keras (1) Complex networks using the Keras Functional API

Construction of complex network models using Keras functional API with python/keras for digital transformation and artificial intelligence tasks (for multimodal problems, etc.)
python

Protected: Deep learning for computer vision with Python and Keras (4) Visualization of CNN training data

Interpreting CNNs with visualization in DNNs using python/keras for digital transformation and artificial intelligence tasks
python

Protected: Deep learning for computer vision with Python and Keras (3) Improving CNNs using trained models

Existing models (ImageNet) using pyhton/keras for digital transformation and artificial intelligence AItasks (few data deep learning (DNN) in use)
python

Protected: Deep learning for computer vision with Python and Keras (2) Improving CNNs with small amounts of data through data expansion

Methods to improve CNNs for small amounts of data using pyhton/Keras for digital transformation and artificial intelligence tasks (improving overtraining by data expansion)
python

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.
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