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Neural Network Courses

212 Courses

California Institute of Technology Udemy

PyTorch for Deep Learning and Computer Vision

Event Title: PyTorch for Deep Learning and Computer Vision Join us for a comprehensive course provided by Udemy, focusing on using PyTorch to build advanced deep learning and computer vision applications. Master the intricacies of neural networks, Python programming, and AI technologies in an engaging learning pathway. This event is ideal for indiv.
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provider Udemy
pricing Paid Course
duration 14 hours 14 minutes
sessions On-Demand
California Institute of Technology Udemy

Python Numpy: Machine Learning & Data Science Course

Unlock the potential of machine learning and data science with our comprehensive course on Python Numpy, available on Udemy. This specialized course is designed to help you master the fundamentals of Numpy Python, an essential tool for manipulating large datasets and performing complex mathematical operations efficiently. Whether you are new to dat.
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provider Udemy
pricing Paid Course
duration 9 hours
sessions On-Demand
California Institute of Technology Udemy

Introduction to AI, Machine Learning and Python basics

Title: Introduction to AI, Machine Learning and Python Basics Description: Dive into the dynamic world of technology with our comprehensive course on Artificial Intelligence (AI) and Machine Learning. Understand essential algorithms and get started with the basics of Python programming. This course is perfect for beginners eager to explore AI, mach.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology LinkedIn Learning  Path

Become a Machine Learning Engineer

Title: Become a Machine Learning Engineer Description: Embark on a transformative journey with this comprehensive learning path designed for those aiming to advance their career in machine learning. Begin with an introduction to the fundamentals of AI and machine learning, before diving into practical exercises where you'll build machine learning a.
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provider LinkedIn Learning  Path
pricing Free Trial Available
California Institute of Technology Udemy

A Beginner's Guide To Machine Learning with Unity

Event Title: A Beginner's Guide To Machine Learning with Unity Description: Dive into the world of advanced game AI and explore how genetic algorithms, neural networks, and Q-learning can be implemented in C# using TensorFlow with Unity. This comprehensive course is perfect for those new to machine learning and game development. Provider:Udemy Cate.
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provider Udemy
pricing Paid Course
duration 13 hours 3 minutes
sessions On-Demand
California Institute of Technology Udemy

Deep Learning Foundation

Event Title: Deep Learning Foundation Description: Delve into the essentials of Deep Learning with this comprehensive overview. Discover the intricate workings of Deep Learning models, explore various platforms and libraries, and grasp how they all function together to advance technology. University: Udemy Categories: Deep Learning Courses, Neural.
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provider Udemy
pricing Paid Course
duration 8 hours 52 minutes
sessions On-Demand
California Institute of Technology Udemy

Master Complete Statistics For Computer Science - I

Title: Master Complete Statistics For Computer Science - I Description: Dive into the essential world of Probability & Statistics, crucial for advancements in Machine Learning, Artificial Intelligence, Data Science, and Neural Networks. This comprehensive course is now available on Udemy. Provider: Udemy Categories: Artificial Intelligence Courses,.
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provider Udemy
pricing Paid Course
duration 21 hours 21 minutes
sessions On-Demand
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

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!