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Neural Network Courses

395 Courses

California Institute of Technology CourseHorse

AI & Machine Learning Bootcamp (Live Online)

The Fullstack Academy Artificial Intelligence & Machine Learning Bootcamp is an intensive part-time program designed for current and aspiring data professionals. Over 26 weeks, you'll master both practical and theoretical machine learning concepts using industry-standard tools. Gain proficiency in Python, Keras, and TensorFlow, and qualify fo.
California Institute of Technology Johns Hopkins University

Foundations of Neural Networks

Foundations of Neural Networks - Specialization by Johns Hopkins University This Specialization by Johns Hopkins University, available on Coursera, is tailored for post-graduate students aiming to advance their expertise in neural networks and deep learning. The program encompasses three comprehensive courses that delve into the mathematical theo.
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California Institute of Technology CourseHorse

AI for Python (Live Online)

Embark on a transformative learning journey with our AI for Python (Live Online) course, designed for both beginners and those with intermediate Python skills. This hands-on course covers essential AI concepts, providing you with the expertise to integrate AI into your projects. Throughout the course, engage in a blend of theoretical unders.
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California Institute of Technology New York University (NYU)

Digital Marketing Tools: Machine Learning and AI

Join the NYU course on Coursera and discover the impact of machine learning and AI on digital marketing. This dynamic course offers businesses the skills to automate decision-making and predict customer behavior using advanced tools. Explore powerful techniques to optimize marketing efforts in real-time and gain insights into machine lear.
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California Institute of Technology Johns Hopkins University

Core Concepts in AI

The "Core Concepts in AI" course is your gateway to mastering artificial intelligence (AI) and machine learning (ML). Designed by Johns Hopkins University and available on Coursera, it provides a comprehensive foundation in AI, helping you understand, evaluate, and implement AI systems effectively. Throughout the course, gain a clear grasp of.
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California Institute of Technology Udemy

Python in 3 Hours! [+ Machine Learning & Deep Learning]

Join our intensive course and switch to Python in just three hours! Dive into the fundamentals of Machine Learning and embark on your journey by developing Deep Learning models using TensorFlow. This streamlined curriculum is perfect for beginners and those looking to upskill quickly. Learn and apply essential tools like Matplotlib, NumPy,.
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California Institute of Technology Udemy

Generative AI for .NET Developers with Azure AI Services

Unleash the potential of modern technology by learning to create intelligent .NET applications using the formidable capabilities of generative AI. This Udemy course, "Generative AI for .NET Developers with Azure AI Services," offers an in-depth exploration into integrating AI modules into your projects. Dive into machine learning, neural netw.
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California Institute of Technology Johns Hopkins University

Introduction to Neural Networks

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California Institute of Technology Udemy

PyTorch for Deep Learning Bootcamp: Zero to Mastery

Elevate your understanding of Deep Learning with the PyTorch for Deep Learning Bootcamp: Zero to Mastery. Offered by Udemy, this comprehensive course is designed for individuals eager to dive into the world of Machine Learning using the powerful PyTorch library developed by Facebook. Gain hands-on experience with practical examples that cover.
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California Institute of Technology Udemy

Master AI & Business Strategy: 100 Lessons For Everyone

Dive into the essential world of AI with "Master AI & Business Strategy: 100 Lessons For Everyone" offered on Udemy. Gain comprehensive insights into machine learning, cybersecurity, neural networks, and more to empower your business strategy. In this course, learners will navigate through the intricacies of machine learning, understand the.
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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!