Neural Network Courses

305 Courses

Convolutional Neural Networks in TensorFlow

Unlock the power of AI with "Convolutional Neural Networks in TensorFlow," a crucial installment in the Machine Learning in TensorFlow Specialization offered by deeplearning.ai on Coursera. Ideal for software developers keen on crafting scalable AI-powered algorithms, this course dives deep into the best practices for deploying TensorFlow, the wide.
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provider Coursera
pricing Free Online Course (Audit)
duration 17 hours
sessions On-Demand

AI for Everyone: Master the Basics

Embark on a journey to demystify Artificial Intelligence (AI) with "AI for Everyone: Master the Basics," offered through edX. This course is a gateway to understanding the myriad ways AI is reshaping our world, designed for individuals across all skill levels. By completing this IBM course, learners have the opportunity to earn a skill badge, a dig.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 1-2 hours a week
sessions On-Demand

Visual Perception

Discover the intricacies of computer vision systems in "Visual Perception," a comprehensive course offered by Columbia University through Coursera. This enlightening program delves into the essence of perception, showcasing the essential techniques and challenges involved in understanding and interpreting images through advanced technology. Embark.
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provider Coursera
pricing Free Online Course (Audit)
duration 10 hours
sessions On-Demand

Deep Learning Applications for Computer Vision

Unlock the potential of your career with the "Deep Learning Applications for Computer vision" course offered by the University of Colorado Boulder on Coursera. Dive into the fascinating world of Computer Vision, and grasp both classic and cutting-edge Deep Learning methodologies. You'll explore a wide array of Computer Vision tasks such as image cl.
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provider Coursera
pricing Free Online Course (Audit)
duration 23 hours
sessions On-Demand

Automated and Connected Driving Challenges

Explore the forefront of automotive innovation with the “Automated and Connected Driving Challenges” MOOC offered by the University of Vigo and available on edX. This comprehensive course dives into the critical aspects of automated and connected driving, a rapidly evolving area in automotive research and industry. Participants will gain firsthand.
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provider edX
pricing Free Online Course (Audit)
duration 15 weeks, 3-8 hours a week
sessions On-Demand

Stanford Seminar - Concepts and Questions as Programs

Explore the intersection of AI, cognitive science, and human ingenuity at Stanford University's engaging seminar titled "Concepts and Questions as Programs." This presentation delves into how human strategies for solving complex computational challenges can enlighten both AI research and cognitive science studies. The seminar will cover intriguing.
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provider YouTube
pricing Free Online Course
duration 1 hour 18 minutes
sessions On-Demand

Stanford Seminar - Neural Networks on Chip Design from the User Perspective

Explore the cutting edge of neural networks in chip design, focusing on user perspectives, at the upcoming Stanford Seminar. This session delves into the evolution of customized hardware architectures designed to enhance the energy efficiency of deep learning inference processing. With a keen eye on integrating emerging Non-Volatile Memory (NVM) te.
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provider YouTube
pricing Free Online Course
duration 58 minutes
sessions On-Demand

Post Graduate Certificate in Natural Language Processing

Embark on a transformative journey with the Post Graduate Certificate in Natural Language Processing offered by the Université de Montréal, available on Coursera MasterTrack. This comprehensive program is designed for college graduates and working professionals eager to delve into or specialize in the dynamic field of natural language processing (N.
provider Coursera  MasterTrack
pricing Paid Course
duration 24 weeks, 7 hours a week

Stanford Seminar - Dialog Markets

Explore the burgeoning impact of machine learning (ML) across various data-rich and goal-oriented domains at the Stanford Seminar on Dialog Markets. This insightful session delves into whether ML can contribute to areas necessitating deep thought—be it personal goal reflection or societal challenges like improving aid for the underprivileged. The s.
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provider YouTube
pricing Free Online Course
duration 59 minutes
sessions On-Demand

Intelligenza Artificiale

Esplora le sfaccettature dell'Intelligenza Artificiale con un corso multidisciplinare che si avventura oltre i tradizionali confini scientifici e tecnologici per toccare tematiche etiche, sociali, economiche, filosofiche e culturali. Unitevi al prof. Alessandro Bogliolo e a un'eclettica squadra di esperti che includono filosofi, neuroscienziati, an.
provider Independent
pricing Free Online Course
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!