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Neural Network Courses

305 Courses

California Institute of Technology Pluralsight

Literacy Essentials: Core Concepts Neural Network

Discover the foundational principles of artificial neural networks in the "Literacy Essentials: Core Concepts Neural Network" course offered by Pluralsight. This engaging course is designed to dive deep into the world of neural networks, elucidating what they are, how they're structured, and the pivotal role of vectorization in enhancing neural net.
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provider Pluralsight
pricing Free Trial Available
duration 49 minutes
sessions On-Demand
California Institute of Technology Udemy

Neural Networks with Tensorflow

Discover the secrets of Neural Networks with our comprehensive course on Udemy, "Neural Networks with TensorFlow: A Primer." This course, ideal for both beginners and those looking to deepen their understanding, is offered by a prestigious university and expertly designed to guide you through the intricate world of neural networks using TensorFlow..
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provider Udemy
pricing Paid Course
duration 5 hours
sessions On-Demand
California Institute of Technology Udemy

Convolutional Neural Networks: Deep Learning

Embark on a comprehensive learning journey with our specialized Convolutional Neural Networks: Deep Learning course. Offered through Udemy, this program is meticulously designed for individuals eager to delve deep into the mechanics of CNN and leverage Python for hands-on projects. Whether you're interested in Python Courses, Deep Learning Courses,.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Coursera

Attention Mechanism

Explore the Attention Mechanism: Enroll in our comprehensive course on Coursera to master the attention mechanism, an innovative method enabling neural networks to selectively concentrate on certain segments of an input sequence. Delve into the mechanisms of attention, understand its operational framework, and discover its application in enhancing.
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provider Coursera
pricing Free Online Course (Audit)
duration 1 hour
sessions On-Demand
California Institute of Technology Independent

Deep Learning Summer School

Discover the cutting-edge advancements in AI and machine learning at the Deep Learning Summer School. Perfect for graduate students and professionals with a foundational understanding of machine learning, this program dives deep into the world of deep neural networks. Learn how these networks have revolutionized speech recognition, object recogniti.
provider Independent
pricing Free Online Course
sessions On-Demand
California Institute of Technology Coursera

Machine Learning Models in Science

Explore Machine Learning in Science with Coursera Delve into the fascinating world of machine learning and its application in scientific arenas with this comprehensive course offered by Coursera. Designed for individuals eager to apply machine learning techniques to tackle scientific issues, this curriculum provides an extensive walkthrough of the.
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provider Coursera
pricing Free Online Course (Audit)
duration 12 hours
sessions On-Demand
California Institute of Technology Coursera

Neural Networks and Random Forests

Embark on a journey to master advanced AI techniques with our comprehensive course on Neural Networks and Random Forests, offered exclusively through Coursera. This curriculum is meticulously designed for individuals keen on expanding their knowledge beyond basic models, delving into the intricacies of artificial intelligence. Our structured learn.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology Coursera

Neural Network Visualizer Web App with Python

Embark on a captivating journey of technology and innovation with the "Neural Network Visualizer Web App with Python" course available on Coursera. Spanning 2 enriching hours, this project-based training is skillfully designed to guide you through the creation of an impressive Neural Network Visualizer web application leveraging Streamlit. Furtherm.
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provider Coursera
pricing Paid Course
duration 2 hours
sessions On-Demand
California Institute of Technology Coursera

Facial Expression Classification Using Residual Neural Nets

Join our hands-on project titled "Facial Expression Classification Using Residual Neural Nets" offered through Coursera, where we delve into the advanced realms of Deep Learning, specifically focusing on Convolutional Neural Networks (CNNs) and Residual Blocks, to master the art of detecting facial expressions. This cutting-edge project is ideal fo.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Image Noise Reduction with Auto-encoders using TensorFlow

Discover the power of image noise reduction through our engaging online course, "Image Noise Reduction with Auto-encoders using TensorFlow," available exclusively on Coursera's hands-on project platform, Rhyme. Over the course of 2 hours, you'll delve into the fundamentals of auto-encoders -- a cutting-edge algorithm designed for lossy data compres.
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provider Coursera
pricing Paid Course
duration 1-2 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!