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Neural Network Courses

305 Courses

California Institute of Technology Udemy

Optimization problems and algorithms

Event Title: Optimization Problems and Algorithms Join our comprehensive course on Udemy to master the art of solving optimization problems using heuristic algorithms within the MATLAB environment. This course is designed for both beginners and experienced programmers who want to deepen their understanding of optimization techniques and their appli.
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provider Udemy
pricing Paid Course
duration 8 hours
sessions On-Demand
California Institute of Technology Udemy

Python for Deep Learning: Build Neural Networks in Python

Embark on your journey to mastering Deep Learning with the "Python for Deep Learning: Build Neural Networks in Python" course available on Udemy. This comprehensive course covers all you need to know about Data Science, TensorFlow, Artificial Intelligence, and Neural Networks. Ideal for both beginners and experienced programmers, this course falls.
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provider Udemy
pricing Paid Course
duration 2 hours 4 minutes
sessions On-Demand
California Institute of Technology Pluralsight

Implementing Multi-layer Neural Networks with TFLearn

Title: Implementing Multi-layer Neural Networks with TFLearn Description: Dive into the world of deep learning with this comprehensive course from Pluralsight, focused on implementing multi-layer neural networks using TFLearn, a highly intuitive library built on top of TensorFlow. This course is designed for machine learning engineers looking to le.
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provider Pluralsight
pricing Free Trial Available
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

Advanced Neural Networks in R - A Practical Approach

Title: Advanced Neural Networks in R - A Practical Approach Description: Elevate your data science expertise by mastering the construction and training of advanced neural networks with our comprehensive course on Udemy. Delve into the intricacies of neural network frameworks using the R programming language. Provider: Udemy University: Not Applicab.
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provider Udemy
pricing Paid Course
duration 3 hours 11 minutes
sessions On-Demand
California Institute of Technology Udemy

Projects in Machine Learning : Beginner To Professional

Title: Projects in Machine Learning: Beginner to Professional Description: Dive deep into the world of machine learning with our comprehensive course designed to take you from a beginner to a professional. Master essential ML concepts and techniques to develop real-world machine learning solutions. University: Not Applicable Provider: Udemy Categor.
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provider Udemy
pricing Paid Course
duration 15 hours
sessions On-Demand
California Institute of Technology Udemy

Simplified: Intro to Machine Learning

Event Title: Simplified: Intro to Machine Learning Description: Dive into the basics of machine learning with our beginner-level course. Perfect for those starting their journey in the tech field, this course, provided by Udemy, delves into fundamental concepts and practical applications of machine learning. Explore key categories including Python,.
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

An Introduction to Machine Learning for Data Engineers

Title: An Introduction to Machine Learning for Data Engineers Description: This essential course serves as a prerequisite for mastering TensorFlow on Google's Cloud Platform, specifically designed for data engineers. Dive deep into the world of Machine Learning and enhance your skills in Python, Machine Learning, and Neural Networks. University: No.
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provider Udemy
pricing Paid Course
duration 1 hour 10 minutes
sessions On-Demand
California Institute of Technology Coursera

Diabetes Disease Detection with XG-Boost and Neural Networks

Course Title: Diabetes Disease Detection with XG-Boost and Neural Networks Description: Join our comprehensive project-based course offered by Coursera, where participants will develop a sophisticated machine learning model aimed at detecting diabetes. Using XG-Boost and Artificial Neural Networks, students will engage in building, training, and te.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

Advanced Data Science Techniques in SPSS

Advanced Data Science Techniques in SPSS Udemy Advance your SPSS skills to the next level by learning sophisticated data analysis techniques available in SPSS. This course, offered by Udemy, is perfect for data science professionals seeking to master high-level methods in SPSS. Categories: Neural Networks Courses Data Science Courses SPSS.
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provider Udemy
pricing Paid Course
duration 6 hours 41 minutes
sessions On-Demand
California Institute of Technology Udemy

Data Science: Deep Learning and Neural Networks in Python

The MOST in-depth look at neural network theory for machine learning, with both pure Python and Tensorflow code
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provider Udemy
pricing Paid Course
duration 12 hours 7 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!