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Neural Network Courses

426 Courses

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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.
provider AWS Skill Builder
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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.
provider SAP Learning
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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.
provider Coursera
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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.
provider Coursera
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California Institute of Technology Coursera

Advanced Chatbots with Deep Learning and Python

Advanced Chatbots with Deep Learning and Python This course is designed to equip learners with the knowledge and skills required to develop advanced chatbots using deep learning and Python. The initial modules provide an overview of chatbots, their evolution, and the benefits of incorporating AI into chatbot development. Learners wil.
provider Coursera
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California Institute of Technology Coursera

Keras Deep Learning & Generative Adversarial Networks (GAN)

Keras Deep Learning & Generative Adversarial Networks (GAN) This course is designed to take you on an in-depth journey through the world of deep learning and artificial intelligence. Beginning with an introduction to AI and machine learning concepts, you’ll build a solid foundation in neural networks and deep learning with the Keras framework. As.
provider Coursera
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California Institute of Technology Coursera

Advanced Generative Adversarial Networks (GANs)

Advanced Generative Adversarial Networks (GANs) Embark on an enlightening journey into the realm of Generative Adversarial Networks (GANs), where you will master the art of AI-driven image synthesis. This course begins with a solid foundation, introducing you to the basic concepts and components of GANs, such as the Generator and Discriminator..
provider Coursera
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California Institute of Technology Johns Hopkins University

Mastering Neural Networks and Model Regularization

Mastering Neural Networks and Model Regularization The course "Mastering Neural Networks and Model Regularization" dives deep into the fundamentals and advanced techniques of neural networks, from understanding perceptron-based models to implementing cutting-edge convolutional neural networks (CNNs). This course offers hands-on experience with r.
provider Coursera
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California Institute of Technology University of Pennsylvania

Deep Learning Essentials

Deep Learning Essentials | University of Pennsylvania | Coursera Join the University of Pennsylvania's Deep Learning Essentials course on Coursera. Delve into the rich history of deep learning, and gain a profound understanding of neural networks, including the perceptron. Discover how these networks function and explore the architectu.
provider Coursera
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California Institute of Technology Coursera

Foundations and Core Concepts of PyTorch

Foundations and Core Concepts of PyTorch In this comprehensive course, you'll embark on a journey through the foundational elements and core concepts of PyTorch, one of the most popular deep learning frameworks. Starting with a detailed overview and system setup, you'll be guided through installing and configuring your environment t.
provider Coursera

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!