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Neural Network Courses

305 Courses

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

Introduction to Artificial Intelligence (AI)

Title: Introduction to Artificial Intelligence (AI) Description: Dive into the world of Artificial Intelligence (AI) with this comprehensive course offered by Coursera. Whether you're a complete beginner or looking to brush up on your AI knowledge, this course is designed for you. Learn what AI truly means, delve into its various applications, and.
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand
California Institute of Technology Coursera

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Embark on a transformative journey into the world of AI with the "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" course, offered through Coursera. Whether you're a software developer eager to scale AI-powered algorithms or an enthusiast looking to delve into machine learning, this course stands at the f.
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provider Coursera
pricing Free Online Course (Audit)
duration 18 hours
sessions On-Demand
California Institute of Technology Independent

Elements of AI

Discover the world of Artificial Intelligence with the free online course, Elements of AI. Aimed at everyone interested in understanding AI, this course breaks down complex theories without the need for intricate math or programming. Start your journey on May 14, 2018, and delve into what AI really is, its capabilities, and its impact on our daily.
provider Independent
pricing Free Online Course
duration 6 weeks, 5-10 hours a week
sessions On-Demand
California Institute of Technology Coursera

Neural Networks and Deep Learning

Embark on a journey into the realm of artificial intelligence with the first course in the Deep Learning Specialization offered by Coursera. This course lays the foundation by introducing you to the pivotal concept of neural networks and deep learning. Throughout this course, you will uncover the key technological advancements propelling deep learn.
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provider Coursera
pricing Free Online Course (Audit)
duration 25 hours
sessions On-Demand
California Institute of Technology Udemy

Artificial Neural Networks [ Theory & Hands-On ]

Title: Artificial Neural Networks [Theory & Hands-On] Description: Delve into the world of Artificial Neural Networks with this comprehensive course designed for beginners. Learn the foundations of Artificial Neural Networks theory and gain practical experience by building models from scratch using Python and frameworks such as KERAS. What you will.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand

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!