Course Intermediate  9050

Course Introduction："PHP Enhanced Learning Video Course" This course is recorded by Boole Education. This course is a detailed and sublimated course of the previously released video tutorial "PHP Three Hours Light Speed ​​Introduction". If you need to strengthen your PHP knowledge, you can take a look. oh! !

Course Elementary  20967

Course Introduction："JavaScript Learning Guide" will teach you to learn JavaScript knowledge from basic to advanced. Including syntax, variables, events, data types, loops, comparisons, objects, etc., allowing learners to have a cognitive process of JavaScript from elementary to advanced.

Course Elementary  50508

Course Introduction：Python is purely free software. The source code and interpreter CPython follow the GPL (GNU General Public License) agreement. The syntax is concise and clear, and one of its features is the forced use of white space as statement indentation. Has a rich and powerful library. It is often nicknamed the glue language, which can easily connect various modules made in other languages ​​​​(especially C/C++) together.

Course Elementary  1315

Course Introduction：scala learning manual

Course Introduction：Introduction to Golang's machine learning application in reinforcement learning Reinforcement learning is a machine learning method that learns optimal behavior by interacting with the environment and based on reward feedback. The Go language has features such as parallelism, concurrency, and memory safety, giving it an advantage in reinforcement learning. Practical case: Go reinforcement learning In this tutorial, we will use the Go language and AlphaZero algorithm to implement a Go reinforcement learning model. Step 1: Install dependencies gogetgithub.com/tensorflow/tensorflow/tensorflow/gogogetgithub.com/golang/protobuf/ptypes/times

2024-05-08 comment 0  502

Course Introduction：The problem of reward design in reinforcement learning requires specific code examples. Reinforcement learning is a machine learning method whose goal is to learn how to take actions that maximize cumulative rewards through interaction with the environment. In reinforcement learning, reward plays a crucial role. It is a signal in the learning process of the agent and is used to guide its behavior. However, reward design is a challenging problem, and reasonable reward design can greatly affect the performance of reinforcement learning algorithms. In reinforcement learning, rewards can be thought of as the agent versus the environment

2023-10-08 comment 0  1434

Course Introduction：The problem of algorithm selection in reinforcement learning requires specific code examples. Reinforcement learning is a field of machine learning that learns optimal strategies through the interaction between the agent and the environment. In reinforcement learning, choosing an appropriate algorithm is crucial to the learning effect. In this article, we explore algorithm selection issues in reinforcement learning and provide concrete code examples. There are many algorithms to choose from in reinforcement learning, such as Q-Learning, DeepQNetwork (DQN), Actor-Critic, etc. Choose the right algorithm

2023-10-08 comment 0  1189

Course Introduction：How to build a reinforcement learning algorithm using PHP Introduction: Reinforcement learning is a machine learning method that learns how to make optimal decisions by interacting with the environment. In this article, we will introduce how to build reinforcement learning algorithms using the PHP programming language and provide code examples to help readers better understand. 1. What is reinforcement learning algorithm? Reinforcement learning algorithm is a machine learning method that learns how to make decisions by observing feedback from the environment. Unlike other machine learning algorithms, reinforcement learning algorithms are not just based on existing data

2023-07-31 comment 0  700

Course Introduction：Deep reinforcement learning technology is a branch of artificial intelligence that has attracted much attention. It has won multiple international competitions and is also widely used in personal assistants, autonomous driving, game intelligence and other fields. In the process of realizing deep reinforcement learning, C++, as an efficient and excellent programming language, is especially important when hardware resources are limited. Deep reinforcement learning, as the name suggests, combines technologies from the two fields of deep learning and reinforcement learning. To simply understand, deep learning refers to learning features from data and making decisions by building a multi-layer neural network.

2023-08-21 comment 0  1122