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Neural Network Courses

426 Courses

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California Institute of Technology XuetangX

人工智能基础

本课程全面介绍了人工智能的基础原理，涵盖四大方面：搜索与问题求解、知识与推理、学习与发现以及具体应用领域。搜索与问题求解涉及问题解决的基本原理、策略与图搜索以及博弈；知识与推理涵盖谓词逻辑、归结原理与确定性推理；学习与发现部分涉及机器学习知识，包括分类、回归和聚类算法；深度学习入门涉及图像识别、卷积神经网络、自然语言处理及循环神经网络。 通过本课程.
provider XuetangX
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California Institute of Technology XuetangX

脑科学与认知

大脑作为人类思维的中枢，是接受外界信号、形成意识和发出指令的核心机构。尽管脑科学已取得显著进展，仍有许多未解的谜团。作为21世纪的前沿科学之一，脑科学为我们理解自然和自身提供了深刻的视角。 《脑科学与认知》课程为生物医学工程、智能医学工程及人工智能专业的学生提供了探索脑与认知科学的理论和应用平台。本课程从基础到应用，全面概述脑科学和认知科学的基本.
provider XuetangX
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California Institute of Technology XuetangX

AI TIME PhD ICLR专场六

Delve into the forefront of artificial intelligence and machine learning research during the AI TIME PhD ICLR专场六 session. This expertly curated event brings together leading minds in academia and industry to explore and discuss cutting-edge topics, all delivered in Mandarin. Attendees will gain valuable insights into recent advancements in ne.
provider XuetangX
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California Institute of Technology Chalmers University of Technology

人工智能与医学数据计算

《人工智能与医学数据计算》课程共分为十节课。课程从人工智能与医学数据计算的背景知识入手，提供人工智能和深度学习的发展概述。第二课分析人工智能目标，介绍关键技术及相关概念，重点解析两种不同人工智能技术的区别与联系。 第三和第四节课概述人工智能的基本应用场景及操作环境的软硬件要求，为后续的深度学习关键技术学习奠定基础。第五节课关注深度学习网络架构，.
provider XuetangX
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California Institute of Technology XuetangX

计算机是如何实现智能的

Join a captivating Chinese language lecture by Tsinghua University, delving into how computers achieve intelligence. This course uncovers the foundational concepts of artificial intelligence and computer intelligence, highlighting the processes of information processing, decision making, and the simulation of human cognitive functions. Learn.
provider XuetangX
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California Institute of Technology Udemy

Complete A.I. & Machine Learning, Data Science Bootcamp

Dive into the world of A.I. and machine learning through this thorough Data Science Bootcamp. Master the essentials of data analysis and machine learning using Python, TensorFlow, and Pandas. Join our course, provided by Udemy, and leverage expert insights into deep learning and data visualization. This bootcamp caters to a wide range of inte.
provider Udemy
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California Institute of Technology Coursera

H2O ai Large Language Models (LLMs) - Level 1

Embark on your journey with Large Language Models (LLMs) through our Level 1 course, crafted for both novices and individuals with some machine learning background. Gain a deep understanding of critical concepts and techniques in language modeling, guided by Andreea Turcu, an AI education specialist from H2O ai. Discover the essence of langu.
provider Coursera
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California Institute of Technology XuetangX

智能控制

《智能控制》是华北电力大学自动化专业的核心课程，针对研究生和本科生提供。课程内容包括智能控制的基本概念、群体智能优化算法、模糊控制、神经网络以及实际应用。学生将通过学习，全面理解智能控制的基本原理及其行业应用，特别是在智能发电背景下的应用。 课程分为春季和秋季学期，分别面向研究生和本科生教授，校内教学32学时。虽然学时因政策有所减少，但通过MOOC.
provider XuetangX
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California Institute of Technology Udemy

Image Recognition with Neural Networks From Scratch(FREE)

Unlock the secrets of image recognition by joining our comprehensive, free course titled "Image Recognition with Neural Networks From Scratch" offered by Udemy. Delve deep into the world of Neural Networks and Backpropagation while mastering Python to develop cutting-edge applications in Image Recognition. This course falls under multiple ca.
provider Udemy
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California Institute of Technology Udemy

Deep Learning with TensorFlow 2.0

Advance your technical skills with our specialised course on Deep Learning with TensorFlow 2.0. This course offers a comprehensive guide to building sophisticated deep learning algorithms, immersing you in the world of neural networks. Learn from Udemy's seasoned instructors through hands-on projects and real-world business case applications..
provider Udemy

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!