Join

Neural Network Courses

305 Courses

California Institute of Technology XuetangX

AI TIME：深度推荐系统的探索与实践

AI TIME: 深度推荐系统的探索与实践 Delve into the world of deep recommendation systems with our in-depth lecture conducted in Chinese, brought to you by XuetangX. This course offers a comprehensive exploration of both the theoretical underpinnings and practical implementations of recommendation algorithms. Engage with key concepts and examine how.
course image
California Institute of Technology XuetangX

人工智能通识

2017年7月，中国国务院发布了《新一代人工智能发展规划》，将人工智能的发展提升为国家战略。这不仅有力支撑了高质量发展，还丰富了新生产力内涵，成为衡量国家科技创新和高端制造水平的关键指标。 西南交通大学计算机与人工智能学院推出的《人工智能》通识课程引领您探索推动第四次工业革命的人工智能技术。本课程自2017年开设以来，已成为全国高校中最早的人工智能教学.
course image
California Institute of Technology XuetangX

智能控制

了解智能和智能控制的基本概念，掌握智能控制发展历史及其在各领域的应用。课程内容涵盖专家系统、模糊控制、神经网络和进化计算的基础知识，介绍这些算法的仿真实现方法及其在实际工程中的应用。
course image
California Institute of Technology XuetangX

融合知识的预训练语言模型

course image
California Institute of Technology XuetangX

人工智能导论

人工智能导论 人工智能技术在各行业中扮演着日益重要的角色，通过推动经济和社会的高质量发展，极大地改变着人们的生活方式，包括衣食住行、工作学习以及娱乐休闲。智能设备、无人驾驶、语音助手、推荐系统等新兴产品为我们的日常生活增添了全新的体验。 人工智能的起源可追溯至计算机科学，为解决复杂问题而生。随着技术的演进，人工智能经历了符号主义到深度学习的多个发.
course image
California Institute of Technology XuetangX

人工智能

人工智能是计算机科学的一门前沿与交叉学科，本课程全面介绍人工智能的基础理论和基本技术。通过本课程的学习，要求学生能够了解人工智能的发展及其研究领域；掌握知识表示的各种方法，基本的问题求解技术以及基本的推理技术；并理解人工神经网络的基本结构和学习方法且能够初步理解专家系统、机器学习、自然语言处理等应用领域的知识。 提供者: XuetangX 类别: 人工智能课.
course image
California Institute of Technology XuetangX

机器学习入门

欢迎加入系统、科学且专业的机器学习入门课程。这门课程不仅涵盖传统的机器学习内容，还包括了深度学习的先进知识。您将学习到机器学习和深度学习的基础理论、算法原理及数据处理技巧，并且通过实际案例分析提高自己的实践能力，从而为未来的学习和职业发展奠定坚实基础。 这是一门针对机器学习初学者设计的课程，涵盖广泛的基本知识，适合各专业背景的学生参与学习。无论您的.
course image
California Institute of Technology XuetangX

论文一作学者分享大模型前沿研究

论文一作学者分享大模型前沿研究 Discover the forefront of AI advancement by learning about the latest developments in large language models from a lead research author. This Chinese-language academic presentation offers a unique opportunity to acquire deep technical understanding of current research directions, innovative methodological approac.
course image
California Institute of Technology XuetangX

人工智能（通识课）

人工智能在互联网时代获得了前所未有的发展机遇，已经成为目前发展最迅速、对社会影响最大的新兴学科。由于人工智能是模拟人类智能解决问题的方法，几乎在所有领域都具有非常广泛的应用，所以，目前许多高校开设了大学生人工智能通识课程。 课程涵盖了人工智能的概念、发展简史、研究内容及应用，引导学生深入各个研究领域，并介绍知识表示、推理方法、搜索策略、遗传算.
course image
California Institute of Technology XuetangX

Introduction to Artificial Intelligence

Gain a comprehensive understanding of artificial intelligence with our extensive course, incorporating knowledge from diverse fields such as philosophy, brain science, mathematics, and computing. This program delves into various AI types, including perceptual, cognitive, language, and behavioral intelligence. Discover fundamental concepts and st.
course image

Who is a neural network developer?

A neural network developer designs and programs hardware and software systems that operate on the principle of the human brain (neural networks).

Introduction to Neural Network Courses

A neural network developer is a programmer who creates software for mathematical models that work on the principle of the nervous system of a living organism.

A neural network is a computer programme built on the model of the structure and functioning of the human brain. Its constituent artificial neurons are tiny mathematical functions that perform computational actions - receive information, process and compare it, and pass it on. A neural network is not programmed in the usual sense of the word once and for all - it learns by loading and constantly processing huge data sets. For this purpose, special algorithms are used, which are created by the neural network developer. As a result, an artificial neural network can compare data, find patterns and on their basis make its own conclusions, classify information, predict events, recognise images, speech.

The task of a neural network developer is to create a programme capable of learning and teach it to learn. Examples of the results of neural network developers' work after neural network courseі include chatbots, voice assistants, text generators, mobile applications capable of recognising faces in photos or emotions in videos, navigation systems for unmanned cars, systems for detecting faults during maintenance, etc.

Career Paths and Learning Paths

Since, by and large, the creation of neural networks is one of the narrow specialisations of a Data Science specialist, the core knowledge of a neural network developer is Big Data science (data modelling, quality assessment of algorithms and prediction models). Also included in the knowledge pool are:

A lot of lectures on neural networks can be found on YouTube. Often after the video, machine learning enthusiasts do a detailed breakdown of the material. There are tutorial applications on the Internet (like artificial neural network course) with ready-made architectures that clearly demonstrate what is happening inside a neural network and give instructions on how to build it into a specific project.

Course Benefits and Features

Let's take a look at the main pluses of the neural networks and deep learning courseі:

These are just some of our advantages.

Enrollment Process

You can email us and sign up for our online lessons now. You can take a deep neural network course on one of the educational platforms. These courses are designed for people with no particular background, so they are suitable for most people. Online training is usually focused on practice - this allows you to quickly build up your portfolio and get a job immediately after training!