Neural Network Courses

232 Courses

Computer Vision

Computer Vision - Udacity Master the computer vision skills behind advances in robotics and automation. Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models. University: Provider: Udacity Categories: Robotics Courses, Computer Vision Courses, Deep Learning Courses, Neural Networks Course.
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Foundations and Core Concepts of PyTorch

Foundations and Core Concepts of PyTorch In this comprehensive course, you'll embark on a journey through the foundational elements and core concepts of PyTorch, one of the most popular deep learning frameworks. Starting with a detailed overview and system setup, you'll be guided through installing and configuring your environment t.
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Fundamentals of AI, Machine Learning, and Python Programming

Embark on a transformative learning experience designed to equip you with a robust understanding of AI, machine learning, and Python programming. This course begins with a thorough introduction to artificial intelligence and machine learning, demystifying the core concepts and exploring how algorithms and data-driven techniques empower compu.
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The History and Relevance of the Rise of Generative AI

The History and Relevance of the Rise of Generative AI Dive into the fascinating journey of artificial intelligence, from its theoretical beginnings to today's powerful generative models. This course offers a unique perspective on how AI has transformed over decades, highlighting the crucial developments in deep learning that paved the way for mod.
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What Is ChatGPT Doing ... and Why Does It Work?: Daily Study Group

What Is ChatGPT Doing ... and Why Does It Work?: Daily Study Group Find out what's going on inside ChatGPT and explore why it can perform so well at producing meaningful text. This Study Group is based on a best-selling book by Stephen Wolfram and provides an accessible and engaging explanation for the success of ChatGPT.
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Machine Learning Proficiency: Wolfram U Instructor-Led Course

Machine Learning Proficiency: Wolfram U Instructor-Led Course This instructor-led course provides an introduction to machine learning, neural networks, and LLMs, followed by hands-on projects using Wolfram technology. Learn how to build, train, and test models in this comprehensive, three-part course sequence that leverage.
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Fundamentals of Machine Learning and Artificial Intelligence (Indonesian)

Fundamentals of Machine Learning and Artificial Intelligence (Indonesian) Dalam kursus ini, Anda akan belajar tentang dasar-dasar machine learning (ML) dan kecerdasan buatan (AI). Anda akan melihat berbagai bentuk hubungan antara AI, ML, deep learning, dan bidang kecerdasan buatan generatif yang sedang berkembang (AI generatif). Anda akan mendapat.
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Ethics and Governance in the Age of Generative AI

Ethics and Governance in the Age of Generative AI This course is ideal for individuals looking to deepen their understanding of generative AI and best practices for ethical incorporation in workflows. Offered by Northeastern University on Coursera, it delves into the ethical and technical aspects of AI model development and deployment, with a co.
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AWS ML Engineer Associate Curriculum Overview (Simplified Chinese)

AWS ML Engineer Associate Curriculum Overview (Simplified Chinese) 在这个 AWS ML Engineer Associate Curriculum 的入门课程中,您将回顾机器学习 (ML) 基础知识并研究 ML 和 AI 的演变。您将探索 ML 生命周期的初始步骤,确定业务目标并根据该业务目标制定 ML 问题。最后,您将了解 Amazon SageMaker,这是一项完全托管式 AWS 服务,可用于.
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GenAI and Model Selection

Did you know that mastering Generative AI (GenAI) and selecting the right models can significantly enhance your projects and organization? Learn how to leverage advanced AI technologies to make informed decisions and optimize your workflows. This short course empowers professionals to enhance their strategies using GenAI technologies. By comple.
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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!