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Neural Network Courses

305 Courses

California Institute of Technology XuetangX

AI TIME PhD ICLR专场四

Immerse yourself in the AI TIME PhD ICLR专场四, a dedicated session focused on the latest breakthroughs in AI research. This Chinese-language event is part of the prestigious International Conference on Learning Representations (ICLR) and features insightful presentations by talented PhD students. Participants will gain an in-depth understandi.
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California Institute of Technology XuetangX

AI TIME PhD 华南理工实验室专场一

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California Institute of Technology XuetangX

AI TIME PhD ICLR专场一

Participate in AI TIME PhD ICLR专场一 to stay at the forefront of artificial intelligence innovation. This specialized lecture series, conducted in Chinese, offers a deep dive into recent advancements showcased at the International Conference on Learning Representations (ICLR). Engage with in-depth discussions and analyses led by experts to.
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California Institute of Technology XuetangX

AI TIME PhD ICLR专场二

Discover the forefront of artificial intelligence research with AI TIME PhD ICLR专场二, a dedicated lecture series offered in Chinese. This series offers a unique opportunity to engage with advanced topics and discussions surrounding papers presented at the International Conference on Learning Representations (ICLR). Participants will delve int.
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California Institute of Technology XuetangX

大模型为什么是AI领域的“兵家必争之地”？

通过观看本视频，你将深入了解大模型在人工智能领域中扮演的核心角色。视频用中文详细讲解了大模型的重要性、最近的技术进展，以及这些模型如何对未来的AI创新产生深远影响。加入我们，探索AI发展的最前沿。 本课程由XuetangX提供，属于以下类别： 人工智能课程 机器学习课程 深度学习课程 神经网络课程 Transformer 架构课程
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California Institute of Technology XuetangX

AI TIME CVPR 专场四

Delve into a specialized conference session dedicated to Artificial Intelligence and Computer Vision, hosted in Chinese and featuring presentations from leading experts at the Conference on Computer Vision and Pattern Recognition (CVPR). Discover the latest developments and innovative methodologies emerging in the fields of AI and computer vis.
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California Institute of Technology XuetangX

智能技术与系统

通过这门全面的中文课程，深入了解智能技术与系统，掌握人工智能、机器学习和智能系统开发的关键概念。探索智能技术背后的基本原则，学习系统架构与框架，积累实施AI解决方案的实用知识。 课程涵盖核心主题，包括知识表示、推理方法、神经网络以及智能信息处理。学习如何设计和优化适用于现实世界的智能系统，提高你的专业技能。 此课程由XuetangX提供，适合希望提升.
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California Institute of Technology XuetangX

AI TIME：ICML科普

Dive into the forefront of artificial intelligence and machine learning with the AI TIME：ICML科普 series. This Chinese-language video series provides detailed coverage on key topics presented at the International Conference on Machine Learning (ICML). Expert explanations bring to life recent research papers and the latest technological advanc.
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California Institute of Technology XuetangX

AI TIME CVPR 专场一

Join the AI TIME CVPR 专场一 to delve into the forefront of AI research and developments in the realm of computer vision. This session, conducted in Chinese, is part of the CVPR conference and offers attendees an invaluable opportunity to enhance their understanding of the latest innovations and practical applications in artificial intellige.
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California Institute of Technology XuetangX

AI TIME PhD ICLR专场五

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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!