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Neural Network Courses

305 Courses

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 XuetangX

复杂装备自动测试与故障诊断技术

通过本课程的学习，让学生掌握最先进的知识和技术，具备交叉学科的视野，既能体现创新能力培养，又能反映实际能力的塑造，能够利用交叉学科的知识解决复杂的工程问题。 大学: 未知 提供者: XuetangX 类别: 人工智能课程, 神经网络课程
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California Institute of Technology University of California, San Diego

Deep Learning For Visual Computing

Deep learning revolutionizes how machines understand data by leveraging non-linear transformation architectures to solve hierarchical recognition tasks. Imagine a machine recognizing Mr. X in a photo standing before Mt. E; features evolve from identifying shapes, colors, and edges to comprehending complex scenes and objects. This course will.
California Institute of Technology Coursera

AI Foundations for Everyone

Artificial Intelligence (AI) is reshaping industries and influencing our daily lives. This specialization is crafted for individuals from all walks of life, whether you're a tech guru or a novice, focusing on the impact and potential of AI on society and organizations. No prior programming knowledge is required. The course is designed to prov.
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California Institute of Technology AWS Skill Builder

AWS Flash - Dar rienda suelta a la innovación: la revolución de la IA generativa (Español LATAM) | AWS Flash - Unleashing Innovation: The Generative AI Revolution (LATAM Spanish)

Descubra cómo la inteligencia artificial generativa transforma la innovación creativa más allá de la simple novedad. Este curso básico de 2 horas le proporcionará un conocimiento accesible de cómo utilizar esta tecnología de manera colaborativa y responsable para impulsar la innovación. Nivel del curso: básico Duración: 2 horas Actividades.
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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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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

神经网络理论及应用

Course Objective Since the mid-1980s, artificial neural networks have rapidly evolved into a forefront research field in information technology. This parallel information processing system significantly impacts fields such as computer science, AI, cognitive science, neuroscience, information science, automatic control, and robotics. The course "N.
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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!