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Neural Network Courses

360 Courses

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
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 LinkedIn Learning

Supervised Learning Essential Training

This mid-level course takes you through how to create one of the most common types of machine learning: supervised learning models.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Deep Learning with Keras

Deep Learning with Keras - Udemy Course Deep Learning with Keras Dive into the world of Deep Learning and Keras! This comprehensive course covers core concepts, models, layers, and modules essential for building cutting-edge Neural Networks and Image Classification Models using Keras. University: Provider: Udemy Categories: Deep.
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provider Udemy
pricing Paid Course
duration 12 hours 58 minutes
sessions On-Demand
California Institute of Technology LinkedIn Learning

Deep Learning: Model Optimization and Tuning

Deep Learning: Model Optimization and Tuning - LinkedIn Learning Explore various optimization and tuning options for deep learning models. Enhance your skills and improve your models with LinkedIn Learning's expert-led course. University: LinkedIn Learning Categories: Deep Learning Courses, Neural Networks Courses
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provider LinkedIn Learning
pricing Free Trial Available
sessions On-Demand
California Institute of Technology Udemy

Deep Learning Mastery 2024

Deep Learning Mastery 2024 Join the "Deep Learning Mastery 2024" course and master the complete life cycle of a deep learning project. This comprehensive course will guide you through implementing various neural networks using TensorFlow and Keras. Provider: Udemy Categories: Python Courses Machine Learning Courses Deep Learning Courses.
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provider Udemy
pricing Paid Course
duration 4 hours 16 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!