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Neural Network Courses

212 Courses

California Institute of Technology Pluralsight

Implementing Neural Network Solutions in Enterprise Environments

Implementing Neural Network Solutions in Enterprise Environments This course covers implementing neural network solutions and models in an enterprise. The topics include model deployment strategies, monitoring systems in production, integration with ETL and databases, and security. Neural networks are rapidly becoming integral to enterprise soluti.
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California Institute of Technology Pluralsight

Using Neural Networks for Image and Voice Data Analysis

Using Neural Networks for Image and Voice Data Analysis Neural networks can be configured in various ways depending on the type of data and objectives. This course will help you understand how to properly choose a neural network architecture for image or audio data. Deep learning, as opposed to machine learning, allows a more robust way to dea.
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California Institute of Technology Udemy

Decision Trees, Random Forests & Gradient Boosting in R

Predictive models with machine learning wit Rstudio´s ROCR, XGBoost, rparty. Bonus: Neural Networks for Credit Scoring
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provider Udemy
pricing Paid Course
duration 5 hours 57 minutes
sessions On-Demand
California Institute of Technology Coursera

Introduction to Artificial Intelligence (AI)

Title: Introduction to Artificial Intelligence (AI) Description: Dive into the world of Artificial Intelligence (AI) with this comprehensive course offered by Coursera. Whether you're a complete beginner or looking to brush up on your AI knowledge, this course is designed for you. Learn what AI truly means, delve into its various applications, and.
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand
California Institute of Technology Pluralsight

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
California Institute of Technology LinkedIn Learning

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
California Institute of Technology Udemy

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
California Institute of Technology Udemy

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
California Institute of Technology Skillshare

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
California Institute of Technology Coursera

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

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!