C/C++ How to create code development environments in various languages
How to create code development environments in various languages
In order to program, it is necessar...
python
C/C++ C/C++ Examples of iteration and branching implementations in various languages
summary
Among programming languages, the basic functionality is one element of the three functions of stru...
python Overview of machine learning and data analysis in Python and introduction to typical libraries
Commentary on libraries and reference books on data analysis using Pyhon, which is used for digital transformation and artificial intelligence
Clojure Overview of web crawling technologies and implementation in Python/Clojure
Overview of web crawling technologies used for digital transformation, artificial intelligence and machine learning tasks and their implementation in Python/Clojure jsoup, clj-http, enlive, clojure.data.json, HTML, CSS jsoup, HTML, CSS, XPATH, JSON, BeautifulSoup, Scrapy, data extraction, natural language processing, databases, search, SNS analysis
python Artificial Intelligence Technologies Drawing Attention at Recent International Conferences
Artificial Intelligence techniques of interest in recent international conferences that are used in Digital Transformation, Artificial Intelligence and Machine Learning tasks Multimodal techniques, Federated Learning, Question and Answer Learning, Automated Machine Learning, AutoML, Few-Shot Learning, One-Shot Learning, Meta-Learning, Graph Neural Networks, GNN, Self-Supervised Learning, IJCAI, AAAI, TNNLS, CVPR, ACM SIGKDD, ICLR, NeurIPS, ICML
python Protected: Applying Neural Networks to Reinforcement Learning Deep Q-Network Applying Deep Learning to Value Assessment
Application of Neural Networks to Reinforcement Learning for Digital Transformation, Artificial Intelligence, and Machine Learning tasks Deep Q-Network Prioritized Replay, Multi-step applying deep learning to value assessment Deep Q-Network applying deep learning to value assessment (Prioritized Replay, Multi-step Learning, Distibutional RL, Noisy Nets, Double DQN, Dueling Network, Rainbow, GPU, Epsilon-Greedy method, Optimizer, Reward Clipping, Fixed Target Q-Network, Experience Replay, Average Experience Replay, Mean Square Error, Mean Squared Error, TD Error, PyGame Learning Enviroment, PLE, OpenAI Gym, CNN
python Protected: the application of neural networks to reinforcement learning(1) overview
Overview of the application of neural networks to reinforcement learning utilized in digital transformation, artificial intelligence and machine learning tasks (Agent, Epsilon-Greedy method, Trainer, Observer, Logger, Stochastic Gradient Descent, Stochastic Gradient Descent, SGD, Adaptive Moment Estimation, Adam, Optimizer, Error Back Propagation Method, Backpropagation, Gradient, Activation Function Stochastic Gradient Descent, SGD, Adaptive Moment Estimation, Adam, Optimizer, Error Back Propagation, Backpropagation, Gradient, Activation Function, Batch Method, Value Function, Strategy)
python Protected: Implementation of Model-Free Reinforcement Learning in python (3)Using experience for value assessment or strategy update: Value-based vs. policy-based
Value-based and policy-based implementations of model-free reinforcement learning in python for digital transformation, artificial intelligence, and machine learning tasks
IOT技術:IOT Technology Protected: Apache Spark’s processing model for distributed data processing
Used for digital transformation artificial intelligence and machine learning tasks Apache Spark's processing model (Executor, Task, Scheduler, Driver Program, Master Node, Worker Node, Spark Standalone, Mesos, Hadoop, HFDS, YARN, Partitions, RDD, Transformations, Actions, Resillient Distributed Dataset)
Clojure UML, workflow data visualization tool plantUML
UML for digital transformation , artificial intelligence , and machine learning tasks, workflow data visualization tools plantUML