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Neural Network Courses

305 Courses

California Institute of Technology XuetangX

大模型技术及交叉应用

Embark on a comprehensive journey to understand the intricacies of large-scale AI models and their diverse applications. With XuetangX, delve into nine meticulously structured lessons that encompass the essential principles, intricate technical implementations, and practical applications across various sectors. Whether you're passionate about.
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California Institute of Technology Udemy

Neural Networks in Python: Deep Learning for Beginners

Embark on your journey into the world of Artificial Neural Networks with our comprehensive beginner's course, "Neural Networks in Python: Deep Learning for Beginners." Designed for aspiring data scientists and AI enthusiasts, this course will guide you through the fundamentals of neural networks using Python. Throughout this course, you will le.
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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.
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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.
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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.
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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..
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California Institute of Technology Udemy

Artificial Neural Network for Regression

Embark on an enlightening journey with our online course, "Artificial Neural Network for Regression," offered by Udemy. In this course, you will gain vital skills to construct an ANN Regression model tailored for forecasting the electrical energy output of a Combined Cycle Power Plant. Integrate the principles of Python, delve into deep learnin.
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California Institute of Technology Udemy

Artificial Neural Networks for Business Managers in R Studio

Master the fundamentals of Artificial Neural Networks with our "Artificial Neural Networks for Business Managers in R Studio" course. Offered by Udemy, this course is designed specifically for business managers who want to delve into the world of predictive models through ANN, without requiring prior expertise in coding or complex mathematics..
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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.
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California Institute of Technology Udemy

Artificial Neural Networks (ANN) with Keras in Python and R

Explore the world of Deep Learning and learn to construct Neural Networks using state-of-the-art tools like TensorFlow 2.0 and Keras, available in both Python and R environments. This course offered by Udemy provides in-depth knowledge and practical experience in applying these cutting-edge technologies. Whether you're a tech enthusiast, a.
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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!