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Neural Network Courses

395 Courses

California Institute of Technology Udemy

TensorFlow: Basic to Advanced Training

Elevate your machine learning skills with Udemy's comprehensive TensorFlow: Basic to Advanced Training. This course offers a flexible and scalable approach to open-source machine learning, catering to learners at all levels. Delve into specialized topics such as Deep Learning and Neural Networks, while also mastering tools like Keras and TensorF.
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California Institute of Technology LinkedIn Learning

Introdução à Inteligência Artificial

Descubra o fascinante mundo da Inteligência Artificial com nosso curso introdutório oferecido pela LinkedIn Learning. Aprenda sobre as principais ferramentas que estão moldando o futuro, desde Robótica, Inteligência Artificial, até Machine Learning. Este curso é classificado em várias categorias, permitindo que você adquira conhecimentos sobr.
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California Institute of Technology LinkedIn Learning

Introduction to Artificial Intelligence

Explore the fascinating world of artificial intelligence with our comprehensive course, Introduction to Artificial Intelligence, provided by LinkedIn Learning. This course offers a thorough overview of the latest tools and techniques in both predictive and generative AI, empowering you with knowledge of cutting-edge technologies. With a focus.
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California Institute of Technology LinkedIn Learning

AI 入門

このコースでは、AIの主要なコンセプトと技術について、分かりやすく解説します。AIは現在、仕事や日々の生活を大きく変えようとしています。このコースは、AIについての基礎的な知識を得たい方や、AIを活用して、より良い仕事や生活を実現したいと考えている方に最適です。 人工知能の基本概念 機械学習の手法 強化学習の理解 ニューラルネットワークの構造.
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California Institute of Technology LinkedIn Learning

Künstliche Intelligenz (KI) – Grundlagen

Vertiefen Sie Ihr Wissen über Künstliche Intelligenz (KI) und Machine Learning (ML) durch einen detaillierten Überblick über deren Geschichte, Techniken und Einsatzbereiche. Dieser Kurs von LinkedIn Learning bietet umfassende Einblicke und Anleitungen für alle Interessierten im Bereich der entwickelnden Technologie, einschließlich Computer Vis.
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California Institute of Technology Udemy

Calculus -for Generative AI ,Data Science & Machine Learning

Unlock the power of calculus for a deeper understanding of artificial intelligence, deep learning, machine learning, and data science. This comprehensive course offered by Udemy is designed to provide you with the essential mathematical foundation needed in these cutting-edge fields. Through hands-on experience, you will master key calculus.
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California Institute of Technology DataCamp

Image Processing in Python

Delve into the world of image processing, an essential aspect of data science. This comprehensive track by DataCamp introduces you to the core techniques used in handling images, starting from basic image enhancements to sophisticated restoration strategies. As you progress, you will explore the intricacies of biomedical imagery, learning to.
California Institute of Technology edX

Mastering Generative AI: LLM Architecture & Data Preparation

The demand for generative AI is projected to grow over 46% annually by 2030, making this an opportune time for AI engineers, developers, data scientists, and machine learning professionals to enhance their skillsets. This course focuses on large language model (LLM) architecture and data preparation, providing the sought-after expertise employers d.
California Institute of Technology edX

Mastering Generative AI: Model Foundations and NLP

The gen AI market is projected to grow by 42% CAGR by 2033 (Bloomberg). With natural language processing being key to this gen AI revolution, skilled data scientists and AI professionals are in high demand! If you’re aiming to break into the AI field, this IBM course on Generative AI - Model Foundations and NLP equips you with the skills employe.
California Institute of Technology University of Vigo

Deep Learning

Artificial neural networks form the foundation of modern AI systems. “Deep Learning” offers participants a comprehensive introduction to the core principles and fundamental building blocks used in today’s neural networks. The course covers the most important types of neural networks, like MLPs, CNNs, RNNs, and Transformers, as well as practical.

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!