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Neural Network Courses

395 Courses

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 Northeastern University

人工智能

《人工智能》课程的主要特点包括以下几个方面： 门槛较低：不需要掌握计算机基础知识，只需大学工科数学基础和一门编程语言。 内容全面：涵盖经典人工智能技术、机器学习及深度学习相关知识，系统介绍发展历程中的各种成果和走过的弯路。 实践性强：不仅提供理论讲授，还有编程实践，学生普遍对这部分内容非常感兴趣。 本课程适合希望全面了解和掌握人工智能技术.
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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 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 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 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

IBM Generative AI Engineering

Embark on a transformative learning journey with the IBM Generative AI Engineering Professional Certificate, an opportunity tailor-made for aspiring generative AI engineers, AI developers, data scientists, machine learning engineers, and AI research engineers. With the generative AI market poised for a significant growth of over 46% CAGR until.
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California Institute of Technology Pluralsight

AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML

Embark on a journey through the transformative world of Artificial Intelligence and Machine Learning with the AWS Certified AI Practitioner (AIF-C01): Fundamentals of AI and ML course. This comprehensive program will equip you with the foundational knowledge required to excel in the AWS Certified AI Practitioner exam. Core Concepts and Found.
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California Institute of Technology Udemy

Introduction to Artificial Neural Network and Deep Learning

Unlock the potential of artificial neural networks and deep learning with our comprehensive course on Udemy. Delve into the best machine learning techniques specifically tailored for data science, with practical applications in image recognition using Java and the Neuroph framework. Perfect for aspiring data scientists and developers eager t.
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California Institute of Technology Udemy

Artificial Intelligence III - Deep Learning in Java

Embark on an in-depth journey into the world of Artificial Intelligence with the "Artificial Intelligence III - Deep Learning in Java" course by Udemy. Dive into core concepts of deep learning, including Deep Learning Fundamentals, Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs) along with advanced topics like LSTM.
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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!