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Neural Network Courses

424 Courses

California Institute of Technology Coursera

PyTorch Ultimate 2024 - From Basics to Cutting-Edge

PyTorch Ultimate 2024 - From Basics to Cutting-Edge Embark on a transformative learning experience with our PyTorch Ultimate 2024 course. Begin with a solid foundation, understanding the key topics and objectives, and seamlessly transition through machine learning essentials and deep learning principles. From setting up your environment to master.
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California Institute of Technology Coursera

Foundations of Deep Learning and Neural Networks

Foundations of Deep Learning and Neural Networks Foundations of Deep Learning and Neural Networks Embark on a journey through the intricate world of deep learning and neural networks. This course starts with a foundation in the history and basic concepts of neural networks, including perceptrons and multi-layer structures. As you progress, you'l.
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California Institute of Technology SAP Learning

Exploring the World of AI

Embark on an educational journey with our course, "Exploring the World of AI," offered by SAP Learning. Dive deep into the fundamental principles and various concepts of AI, including fascinating perspectives on machine learning and symbolic AI through engaging mediums like board and computer games. This course also sheds light on the common pit.
California Institute of Technology AWS Skill Builder

AWS ML Engineer Associate Curriculum Overview (Korean)

AWS ML 엔지니어 어소시에이트 교육 과정의 이 입문자용 과정에서는 기계 학습(ML) 관련 기본 사항을 복습하고 ML 및 AI의 발전 상황을 살펴봅니다. 비즈니스 목표를 파악하고 ML 문제를 공식화하며 Amazon SageMaker에 대해 알아봅니다. 과정 수준: 고급 소요 시간: 45분 참고: 이 과정의 동영상에는 한국어 트랜스크립트 또는 자막이 지원됩니다. 자막을 표시하.
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California Institute of Technology CodeSignal

Neural Networks Basics from Scratch

Embark on an in-depth exploration of Neural Networks and their pivotal role in modern AI with our comprehensive course. Gain hands-on experience by manually implementing foundational AI tools such as Perceptrons, activation functions, and the integral components of multi-layer Neural Networks. Delve into the core mechanisms without relying o.
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California Institute of Technology University of California, Davis

AI for Knowledge Workers

Enroll Now - Enhance your skills in AI with the University of California, Davis through Coursera. This beginner-friendly course is your gateway to understanding AI, from Machine Learning to Generative AI, enabling you to transform your approach to both creative and critical thinking tasks in the workplace. Learn to harness AI technologies like.
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California Institute of Technology CodeSignal

AI Theory and Coding

AI Theory and Coding | CodeSignal AI Theory and Coding Provider: CodeSignal Delve into the fascinating realm of Artificial Intelligence with our comprehensive course. Specifically crafted to equip you with a profound understanding of traditional Machine Learning techniques, our program guides you through implementing key algor.
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California Institute of Technology Coursera

Microsoft AI & ML Engineering

Join the Microsoft AI & ML Engineering program, a detailed curriculum designed to equip you with essential skills and deep understanding in the flourishing fields of Artificial Intelligence and Machine Learning. Across five courses, this program covers foundational concepts to advanced topics, offering practical skills and hands-on experience i.
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California Institute of Technology Coursera

AI and Machine Learning Algorithms and Techniques

Delve into the essential algorithms and methodologies at the heart of AI and Machine Learning with this in-depth course. Discover how pre-trained large-language models (LLMs) and various learning paradigms like supervised, unsupervised, and reinforcement learning come together to solve complex business challenges. Gain hands-on experience in.
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California Institute of Technology Coursera

IBM AI Engineering

Coursera AI technology is anticipated to expand by 37.3% by the year 2030, according to Forbes. The IBM AI Engineering Professional Certificate, offered through Coursera, equips data scientists, machine learning engineers, software engineers, and technical specialists with skills to excel as AI engineers. Throughout the program, participa.
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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!