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Neural Network Courses

360 Courses

California Institute of Technology Coursera  Specialization

Fundamentos de IA para Todos

La Inteligencia Artificial (IA) ya no es ciencia ficción. Está impregnando rápidamente todos los sectores y tiene un profundo impacto en prácticamente todos los aspectos de nuestra existencia. Tanto si eres un ejecutivo, responsable, profesional del sector, investigador o estudiante, comprender la IA, su impacto y su potencial transformador pa.
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provider Coursera  Specialization
pricing Paid Course
duration 13 weeks, 3 hours a week
California Institute of Technology OpenClassrooms

Classez et segmentez des données visuelles

Classez et segmentez des données visuelles Bienvenue dans le cours de vision par ordinateur ! Dans ce cours, vous allez apprendre à classifier des images à l'aide des algorithmes issus du Machine Learning, en particulier de l'apprentissage supervisé (approche plutôt traditionnelle) et du Deep Learning (approche très moderne). La première partie vo.
provider OpenClassrooms
pricing Free Online Course
duration 15 hours
sessions On-Demand
California Institute of Technology Coursera

AI For Everyone （すべての人のためのAIリテラシー講座）

AI For Everyone （すべての人のためのAIリテラシー講座） AIはエンジニアだけのものではなく、今や社会人の基本リテラシーといえます。本コースは、AIの基礎を学びたい方、今の組織をAIを使いこなせる組織へと変革させたい方、そんなすべての方々に、理系文系問わず、肩書きや職種問わず、受講いただけるコースです。 本コースでは、次のことを学習していただきます：.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand
California Institute of Technology Coursera

Neuronale Netze und Deep Learning

Wenn auch Sie topaktuelle KI für sich nutzen möchten, sind Sie mit diesem Kurs auf dem richtigen Weg. Deep Learning-Pioniere sind vielgefragt und wenn Sie Deep Learning einmal gemeistert haben, stehen Ihnen zahlreiche Karrieremöglichkeiten offen. Deep Learning ist eine neue „Superkraft“, mit der Sie KI-Systeme entwickeln können, die so vor ein.
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provider Coursera
pricing Free Online Course (Audit)
duration 20 hours
sessions On-Demand
California Institute of Technology Coursera

Améliorez les réseaux neuronaux profonds

Améliorez les réseaux neuronaux profonds Dans ce cours, vous apprendrez la "magie" qui permet l'efficacité de l’apprentissage profond. Plutôt que de voir le processus d’apprentissage profond comme une boîte noire, vous comprendrez ce qui commande la performance et vous pourrez ainsi obtenir systématiquement de bons résultats plus souvent. Vous a.
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provider Coursera
pricing Free Online Course (Audit)
duration 18 hours
sessions On-Demand
California Institute of Technology Coursera

Réseaux neuronaux convolutifs

Réseaux neuronaux convolutifs Ce cours vous apprendra à créer des réseaux neuronaux convolutifs et à les appliquer aux données d’image. Grâce à l’apprentissage en profondeur, la vision par ordinateur fonctionne beaucoup mieux qu’il y a seulement deux ans, ce qui permet de nombreuses applications passionnantes allant de la conduite autonome en to.
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provider Coursera
pricing Free Online Course (Audit)
duration 20 hours
sessions On-Demand
California Institute of Technology Udemy

Deep Learning verstehen: Entwickle Neuronale Netze in Python

Deep Learning verstehen: Entwickle Neuronale Netze in Python
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provider Udemy
pricing Paid Course
duration 9 hours 58 minutes
sessions On-Demand
California Institute of Technology Coursera

Neuronales Netz von Scratch

Neuronales Netz von Scratch | Coursera Lernen Sie, wie Sie ein neuronales Netz von Grund auf erstellen in diesem umfassenden Kurs auf Coursera. Tauchen Sie tief in die Welt der neuronalen Netze ein und erwerben Sie die notwendigen mathematischen und programmiertechnischen Fähigkeiten. Der Kurs umfasst wichtige Themen wie Gradient Descent und mehr.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology edX

Introducción a Machine Learning

Introducción a Machine Learning En este curso abordaremos el aprendizaje automático de máquinas desde una perspectiva algebraica. Se abordarán cuatro temas principales: Primero, introduciremos los modelos de regresión y clasificación lineal, comenzando por la regresión lineal multivariada, sus aplicaciones y cómo evitar el sobre-ajus.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 4-6 hours a week
sessions On-Demand
California Institute of Technology Udemy

Deep Learning, Neuronale Netze & AI: Der Komplettkurs

Erlernen Sie die Grundlagen und fortgeschrittenen Techniken der künstlichen Intelligenz in unserem umfassenden Kurs "Deep Learning, Neuronale Netze & AI: Der Komplettkurs". Nutzen Sie Python, Keras und Tensorflow 2, um beeindruckende Projekte wie Bildverarbeitung und Bitcoin-Kursvorhersagen zu realisieren. Werden Sie ein Expertenentwickler für.
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provider Udemy
pricing Paid Course
duration 1 day 1 hour 21 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!