画像認識技術

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.
推論技術:inference Technology

Protected: Instance recognition and retrieval (1) Instance retrieval using BoVW

Instance recognition and image retrieval technology based on image recognition technology used in digital transformationand artificial intelligence
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.
推論技術:inference Technology

Protected: Object Detection:Sliding Window Method and Negative Example Sequential Selection with Exampler-SVM, R-CNN

Various classifiers for object detection (Sliding Window Method and Negative Example Sequential Selection and Exampler-SVM, R-CNN) for digital transformation and artificial intelligence tasks.
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: 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.
機械学習:Machine Learning

Deep Learning Technologies

Deep learning technology, one of the breakthroughs in artificial intelligence technology and machine learning technology
推論技術:inference Technology

Protected: Classification (4) Group learning(Ensemble Learning, Random Forest) and evaluation of learning results(Cross-validation method)

Algorithms for collective learning for data classification and evaluation of classification results (ensemble learning, bagging, boosting, random forests, cross-validation)
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