Neural Network Courses

305 Courses

Convolutional Neural Networks

Unlock the world of computer vision with our "Convolutional Neural Networks" course, offered through Coursera. This comprehensive fourth course in the Deep Learning Specialization series delves into the dramatic evolution of computer vision, exploring its transformative applications from autonomous driving and face recognition to radiological image.
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provider Coursera
pricing Free Online Course (Audit)
duration 36 hours
sessions On-Demand

Classify space rocks by using Python and artificial intelligence

Unlock the mysteries of the cosmos with our engaging course, "Classify Space Rocks using Python and Artificial Intelligence," brought to you by Microsoft Learn. This unique course is designed for enthusiasts and professionals alike, covering the fascinating intersection of space science and cutting-edge AI technologies. Dive into this comprehensive.
provider Microsoft Learn
pricing Free Online Course
duration 1 hour 56 minutes
sessions On-Demand

CertNexus Certified Artificial Intelligence Practitioner

Title: CertNexus Certified Artificial Intelligence Practitioner Description: The Certified Artificial Intelligence Practitioner™ (CAIP) course, offered on Coursera, is ideal for learners aiming to distinguish themselves in the job market with a certification validated by the industry. This specialization equips participants with essential knowledge.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 26 weeks, 3 hours a week

Artificial Intelligence II - Hands-On Neural Networks (Java)

Delve into the world of Artificial Intelligence with our "Artificial Intelligence II - Hands-On Neural Networks (Java)" course on Udemy. This comprehensive course covers everything from the basics of neural networks and Hopfield networks to the concrete implementation of neural networks, including backpropagation and optical character recognition..
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provider Udemy
pricing Paid Course
duration 4-5 hours
sessions On-Demand

Artificial Intelligence for beginners: Neural Networks

Title: Artificial Intelligence for Beginners: Neural Networks. Learn the fundamentals of Artificial Intelligence with this beginner's course on Neural Networks. Offered by Udemy, this course falls under the category of Neural Networks Courses and is designed to introduce you to the core concepts of neural networks and artificial intelligence (AI)..
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Artificial Intelligence Foundations: Neural Networks

Explore the foundation of Artificial Intelligence with our focused course on Neural Networks, available through LinkedIn Learning. This course delves into the critical concepts underlying artificial neural networks, providing you with the knowledge to configure your neural network. With this expertise, you'll be equipped to uncover patterns within.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Building AI

Embark on a transformative journey with the "Building AI" course, designed for a broad audience, including those new to programming and those proficient in Python. This course aims to expand your AI vocabulary and skills, providing insights into various AI methodologies, their applicability in real-life scenarios, and their underlying mechanisms. B.
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provider Independent
pricing Free Online Course
duration 50 hours
sessions On-Demand

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Embark on a transformative journey into the realm of AI with the "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization" course, available on Coursera. This comprehensive course serves as the second installment in the Deep Learning Specialization, designed to demystify the inner workings of deep learning and provid.
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provider Coursera
pricing Free Online Course (Audit)
duration 24 hours
sessions On-Demand

Introduction to Deep Learning

Delve into the cutting-edge world of Deep Learning with our comprehensive course. This introductory program is designed for individuals eager to explore the depth of natural language processing, biomedical applications, and more. Deep Learning empowers the handling of varied data types, including images, texts, voice, graphs, and others, equipping.
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provider Coursera
pricing Free Online Course (Audit)
duration 60 hours
sessions On-Demand

Build Decision Trees, SVMs, and Artificial Neural Networks

Discover the final frontier in machine learning algorithms in our comprehensive course, "Build Decision Trees, SVMs, and Artificial Neural Networks," offered exclusively on Coursera. This intensive program marks the culmination of the Certified Artificial Intelligence Practitioner (CAIP) series, a professional certificate aimed at expanding your ex.
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provider Coursera
pricing Free Online Course (Audit)
duration 22 hours
sessions On-Demand

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!