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Neural Network Courses

305 Courses

California Institute of Technology XuetangX

人工智能导论

探索人工智能基础概念，研究数据驱动的网络模型、算法与平台。本课程梳理人工智能的关键发展节点，激发您的学习兴趣。通过此课程，您将牢牢掌握人工智能基础，为深度学习的最前沿铺路，不仅适合计算机专业学生，也对其他学科的学生适宜。
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California Institute of Technology XuetangX

Artificial Neural Networks Theory and Its Applications

Embark on a journey through the intricate world of artificial neural networks, designed to introduce you to both their fundamental theories and cutting-edge applications. Initiate your learning with the basics of biological neural networks before delving into complex structures such as Deep Convolutional Neural Networks (CNNs) and Generative.
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California Institute of Technology XuetangX

Introduction to Artificial Intelligence（人工智能导论）

Explore the fundamentals of artificial intelligence with our comprehensive course, "Introduction to Artificial Intelligence（人工智能导论）." This course, delivered by XuetangX, covers five insightful chapters designed for learners keen on understanding AI's core concepts and applications. Chapter 1: Introduction to Artificial Intelligence In.
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California Institute of Technology XuetangX

Cloud Computing and Artificial Intelligence

This course covers the structure and possibilities of Cloud Computing, emphasizing the merging of data with AI services like IoT, key technologies in the Fourth Industrial Revolution. It also delves into the applications of big data processing through text analytics. Participants will gain an understanding and practical skills in the principles o.
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California Institute of Technology Udemy

All of AI: ChatGPT, Midjourney, Stable Diffusion & App Dev

Find this AI course on Udemy Explore various aspects of artificial intelligence, from ChatGPT and prompt engineering to OpenAI API and beyond. This course covers diverse topics such as AI app development, chatbots, GPTs, and machine learning. Get hands-on experience with generative AI, automation, and copilot functionalities. Perfect for anyon.
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California Institute of Technology XuetangX

Intelligent Control（智能控制）

The rise and in-depth research of artificial intelligence propel control theory toward simulating various intelligences. Concurrently, the automatic control of unmanned systems and intelligent products drives continuous development in intelligent control technology. This course serves as a professional core for students majoring in automation, c.
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California Institute of Technology Udemy

【試験対策から本質の理解まで、知識をまとめて身に付けよう！】G検定対策講座

イベントタイトル：試験対策から本質の理解まで、知識をまとめて身に付けよう！G検定対策講座 概要：G検定は機械学習やディープラーニングの基礎を学ぶための重要な入口となる試験です。この講座では、受験対策として知識をまとめ、本質的な理解を深められるようにサポートします。 プラットフォーム：Udemy 関連カテゴリー：人工知能コース、機械学習コース、ディープラー.
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California Institute of Technology Udemy

Deep Learning Python Project: CNN based Image Classification

Embark on a transformative journey into the world of deep learning with our comprehensive project on image classification using Convolutional Neural Networks (CNN). Designed for beginners, this course utilizes the CIFAR-10 dataset and provides detailed insights into building and training your own CNN models leveraging Python's powerful framewor.
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California Institute of Technology XuetangX

初识《神经网络理论及应用》——之课程知多少？

Join the introductory lecture on neural networks presented by Beijing Technology and Business University. This course is designed to provide foundational knowledge about artificial neural network concepts, theoretical frameworks, and their practical applications. Perfect for those eager to explore the world of neural networks, this lecture.
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California Institute of Technology XuetangX

智能控制技术

本课程体系简约而全面，逐步讲解智能控制技术，内容配有例题与习题，助力学生深入理解与掌握核心概念。课程共有七章，包含34节课。 第一章为绪论，介绍智能控制的发展历程及主要方法，分析智能控制系统的构成原理，共3节课。第二章探讨模糊控制的理论基础，从模糊集合、运算、隶属度函数到模糊逻辑推理进行详细讲解，重点在模糊集数学理论，共7节课。 第三章解析模糊控制系统.
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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!