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Neural Network Courses

426 Courses

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California Institute of Technology Codecademy

Machine Learning: Perceptrons

Learn how to build perceptrons: the foundations of neural networks. Continue your Machine Learning journey with Machine Learning: Perceptrons. Learn how to create a perceptron from scratch, set weights, and manage error. Explain what a perceptron is and how it relates to a neural network Build a perceptron Improve your perceptron's perf.
provider Codecademy
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California Institute of Technology Codecademy

Intro to LLMs

Intro to LLMs - Learn How Large Language Models Work | Codecademy Learn how large language models (LLMs) work, how they're used, and what their adjustable parameters do. Large Language Models (LLMs) and text generation are at the heart of many cutting-edge AI applications today. This course is a no-code introduction to LLMs, covering their hist.
provider Codecademy
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California Institute of Technology Pluralsight

Introduction to Machine Learning with ENCOG 3

Introduction to Machine Learning with ENCOG 3 This machine-learning course is dedicated to the implementation and applications of various methods using ENCOG 3. Initiate your free trial today! While the domain of machine learning is extensive, this course narrows its focus to neural networks. We begin by building a foundation, explaining machin.
provider Pluralsight
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California Institute of Technology Pluralsight

Advanced Machine Learning with ENCOG

Advanced Machine Learning with ENCOG In this course, you will delve into advanced topics related to machine learning, focusing on enhancing the accuracy of neural network predictive models. Explore the different types of neural networks and their implementations using the open-source machine learning framework ENCOG. Are you concerned about you.
provider Pluralsight
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California Institute of Technology Coursera

Fundamentals of Generative AI for Beginners

Fundamentals of Generative AI for Beginners Generative AI is a disruptive technology with immense impact. It is pushing businesses to rethink customer strategies, encouraging chipmakers to meet increased processor demands, and leading academia to alter learning paths and curriculums across various fields of study. This course introduces you to.
provider Coursera
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California Institute of Technology Coursera

Gen AI Foundational Models for NLP & Language Understanding

Gen AI Foundational Models for NLP & Language Understanding This IBM course will teach you how to implement, train, and evaluate generative AI models for natural language processing (NLP). The course covers a variety of NLP applications including document classification, language modeling, and language translation. Learn the fundamentals of buil.
provider Coursera
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California Institute of Technology University of Michigan

투자 기술의 혁신: AI

provider Coursera
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California Institute of Technology Coursera

Deep Learning

Deep Learning Course | Coursera Join our comprehensive Deep Learning course on Coursera and dive into the fascinating world of advanced machine learning. This course is meticulously designed to cover: Neural Networks Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) Transformers Generative Models Neur.
provider Coursera
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California Institute of Technology edX

Introduction à l'apprentissage profond

Introduction à l'apprentissage profond Développé par IVADO et le MILA, ce cours d'une durée totale de 5 heures présente les concepts fondamentaux de l'apprentissage profond à travers 5 modules de formation proposés en français. Le contenu sera présenté à l’aide de vidéos pédagogiques présentés par des spécialistes du domaine : Alain Tapp, Yoshua B.
provider edX
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California Institute of Technology

DJ Patil: Ask Me Anything

DJ Patil: Ask Me Anything Join former U.S. chief data scientist DJ Patil as he tackles questions posed by LinkedIn members. Topics range from data security to the future of data science. Categories: Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Data Science Courses Internet of Things Courses Cyber.

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!