Neural Network Courses

305 Courses

Implement Natural Language Processing for Word Embedding

Embark on a journey to master Natural Language Processing (NLP) with our comprehensive course, "Implement Natural Language Processing for Word Embedding," brought to you by Pluralsight. This course is tailored to teach you the intricacies of leveraging word embeddings through deep learning to advance your NLP capabilities. NLP is a revolutionary se.
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provider Pluralsight
pricing Free Trial Available
duration 1 hour 34 minutes
sessions On-Demand

Deep Learning: Image Recognition

Discover the world of deep learning with our comprehensive course on designing, building, and deploying deep neural networks for image recognition systems, offered through LinkedIn Learning. This course is tailored for enthusiasts and professionals alike who are eager to dive into the realms of Python, Deep Learning, Neural Networks, TensorFlow, Ke.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Neural Network Theory for Absolute Beginners In Javascript

Embark on an enlightening journey into the world of neural networks with "Neural Network Theory for Absolute Beginners in JavaScript". This course, offered by Udemy, is meticulously designed for novices with zero or limited understanding of neural networks. It presents a step-by-step guide to unravel the basic theoretical concepts of neural network.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Deep Learning : Computer Vision Beginner to Advanced Pytorch

Embark on a transformative journey from novice to expert in the realm of computer vision with our comprehensive course, available on Udemy. Deepen your understanding of Convolutional Neural Networks (CNNs) and harness the power of Deep Learning using PyTorch and Python. This meticulously designed curriculum is tailored to infuse you with advanced s.
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provider Udemy
pricing Paid Course
duration 8 hours
sessions On-Demand

Artificial Intelligence for Beginners: How ChatGPT Works

Embark on a journey to demystify the complexities of ChatGPT in our engaging course titled "Artificial Intelligence for Beginners: How ChatGPT Works." This comprehensive course is designed to peel back the layers of ChatGPT, explaining its operation, significance, and how it connects with other trending concepts in AI like transformers, large langu.
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provider Skillshare
pricing Free Trial Available
sessions On-Demand

Advanced Learning Algorithms

Embark on a journey to mastering the complexities of machine learning with the "Advanced Learning Algorithms" course, the second installment of the Machine Learning Specialization, a collaborative offering from DeepLearning.AI and Stanford Online, hosted on Coursera. This course is meticulously designed to provide hands-on experience in building an.
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provider Coursera
pricing Free Online Course (Audit)
duration 34 hours
sessions On-Demand

Applications of TinyML

Discover the world of Tiny Machine Learning (TinyML) and explore its vast applications with the "Applications of TinyML" course provided by Harvard University through edX. This course, following the Foundations of Tiny ML, delves into how devices like Google Home process commands like “OK Google,” and whether these devices are constantly listening..
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provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 2-4 hours a week
sessions On-Demand

Deep Learning and Neural Networks for Financial Engineering

Explore the frontiers of Artificial Intelligence with HEC Paris and edX Professional Education through the "Deep Learning and Neural Networks for Financial Engineering" course. This comprehensive program dives into how deep learning and neural networks can transform the landscape of financial engineering. Participants will learn the application of.
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provider edX  Professional Education
pricing Paid Course
duration 7 weeks, 4-6 hours a week

CUDA Advanced Libraries

Embark on a comprehensive journey into the realm of GPU computing with the "CUDA Advanced Libraries" course, proudly presented by Johns Hopkins University through Coursera. This pivotal training completes the GPU specialization series, dedicating itself to the mastery of CUDA Toolkit's premier libraries. Participants will immerse themselves in the.
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provider Coursera
pricing Free Online Course (Audit)
duration 25 hours
sessions On-Demand

Stanford Seminar - Deep Learning in Speech Recognition

Title: Stanford Seminar - Deep Learning in Speech Recognition Description: Embark on a comprehensive journey through the realm of artificial intelligence with Stanford University's seminar on Deep Learning in Speech Recognition. This meticulously designed course offers a deep dive into the history, development, and pivotal applications of deep lear.
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provider YouTube
pricing Free Online Course
duration 1 hour 13 minutes
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!