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Neural Network Courses

212 Courses

California Institute of Technology University of Michigan

투자 기술의 혁신: AI

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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.
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California Institute of Technology Udemy

Deep Learning, Neuronale Netze und TensorFlow in Python

Deep Learning, Neuronale Netze und TensorFlow in Python Werde zum Deep Learning Experten: Mathematik & Praxis für Neural Networks mit Keras. [2024 Edition] University: University Provider: Udemy Categories: Artificial Intelligence Courses, Machine Learning Courses, Deep Learning Courses, Neural Networks Courses, TensorFlow Courses, Image Recogni.
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provider Udemy
pricing Paid Course
duration 16 hours 15 minutes
sessions On-Demand
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.
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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.
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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.
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.
California Institute of Technology Coursera

Generative AI for Developers

Generative AI for Developers Generative AI for Developers Unlock the future of coding with generative AI, and excel your programming skills and deepen your understanding of AI’s transformative power. Perfect for you to integrate advanced AI tools into your workflows, with a blend of technical mastery and ethical insight, ensuring you stay at the.
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California Institute of Technology Coursera

Understanding Large Language Models in Business

Understanding Large Language Models in Business This course offers a deep dive into Large Language Models (LLMs), exploring their capabilities, applications, challenges, and future potential in the business landscape. Through a blend of theoretical insights and practical examples, learners can review and acquire con.
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California Institute of Technology Pluralsight

Demystifying Image Recognition: Dive into Deep Learning

Demystifying Image Recognition: Dive into Deep Learning In today's data-driven world, a significant amount of data is visual. This course, Demystifying Image Recognition: Dive into Deep Learning, will equip you with the skills to recognize and classify images using neural networks. Throughout the course, you'll gain comprehensive knowledge and.
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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!