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Neural Network Courses

226 Courses

California Institute of Technology University of Naples Federico II

Interpretable Machine Learning

Interpretable Machine Learning As Artificial Intelligence (AI) becomes integrated into high-risk domains like healthcare, finance, and criminal justice, it is critical that those responsible for building these systems think outside the black box and develop systems that are not only accurate, but also transparent and trustworthy. This course is a.
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California Institute of Technology AWS Skill Builder

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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California Institute of Technology Northeastern University

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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California Institute of Technology Udacity

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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California Institute of Technology Udacity

AI Product Manager

AI Product Manager Nanodegree Program | Udacity The AI Product Manager Nanodegree Program offers a comprehensive overview of AI and machine learning for business. It covers the basics of AI, how to leverage existing datasets with AI, how to collect or create bespoke datasets for custom AI applications, and how to use the latest Generative AI.
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California Institute of Technology University of Naples Federico II

Explainable Machine Learning (XAI)

Explainable Machine Learning (XAI) Explainable Machine Learning (XAI) As Artificial Intelligence (AI) becomes integrated into high-risk domains like healthcare, finance, and criminal justice, it is critical that those responsible for building these systems think outside the black box and develop systems that are not only accurate, but also trans.
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California Institute of Technology Udacity

AI Programming with Python

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California Institute of Technology AWS Skill Builder

AWS SimuLearn: TensorFlow and Computer Vision

AWS SimuLearn: TensorFlow and Computer Vision AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialog between a customer and a technology professional. AWS SimuLearn: Te.
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California Institute of Technology AWS Skill Builder

Exam Prep Official Pretest: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English)

Exam Prep Official Pretest: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English) The Exam Prep Official Pretest: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English) includes 65 questions and has a time limit of 130 minutes. This pretest aligns with the MLA-C01 version of the exam and exam guide. About AWS Ce.
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California Institute of Technology

PyTorch for Deep Learning

PyTorch for Deep Learning Learn PyTorch and become a proficient Deep Learning Engineer. This PyTorch course is a step-by-step guide designed to help you develop your own deep learning models. The curriculum includes essential topics such as Computer Vision, Neural Networks, and much more.
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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!