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Neural Network Courses

426 Courses

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California Institute of Technology Udemy

Advanced Stable Diffusion with ComfyUI and SDXL

Unlock the future of design with our Advanced Stable Diffusion course, featuring cutting-edge tools like ComfyUI, SDXL, and Stable Diffusion 1.5. Dive into the world of generative AI and enhance your creative projects with advanced AI-powered techniques. This Udemy course is perfect for aspiring designers and technologists looking to stay ah.
provider Udemy
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California Institute of Technology Udemy

End to End Data Science Practicum with Knime

Embark on an informative journey into the world of data science with our "End to End Data Science Practicum with Knime" offered by Udemy. This course empowers you to master key data science concepts and techniques using Knime, supported by practical hands-on examples. Whether your interest lies in data visualization, regression analysis, clust.
provider Udemy
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California Institute of Technology Udemy

Machine Learning for Interviews & Research and DL basics

provider Udemy
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California Institute of Technology Udemy

Complete PySpark & Google Colab Primer For Data Science

Master the art of building machine learning and neural network models using PySpark and Google Colab with this comprehensive primer. Perfectly suited for aspiring data scientists, this Udemy course covers essential topics including machine learning, big data, deep learning, and more. Discover how to efficiently process data and perform stati.
provider Udemy
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California Institute of Technology Udemy

Become a TensorFlow Certified Professional Developer

Elevate your AI expertise with our immersive training program designed to prepare you as a TensorFlow Certified Developer. Offered by Udemy, this course provides an unparalleled opportunity to sharpen your skills in various key AI domains. Whether you're delving into Machine Learning, diving deep into Neural Networks, or exploring the intricac.
provider Udemy
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California Institute of Technology Udemy

Machine Learning with TensorFlow on Google Cloud

Discover the world of machine learning with our in-depth course on using TensorFlow on Google Cloud. This hands-on experience allows you to build, train, and deploy robust ML models utilizing Google's powerful infrastructure. Whether you're delving into neural networks or mastering regression techniques, this course offers a comprehensive gui.
provider Udemy
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California Institute of Technology Udemy

Self-Supervised Learning A-Z: Theory & Hands-On Python

provider Udemy
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California Institute of Technology Udemy

TensorFlow Hub: Deep Learning, Computer Vision and NLP

Join the TensorFlow Hub course to effortlessly develop projects in the rapidly growing fields of computer vision and natural language processing. This course, provided by Udemy, empowers you to create innovative solutions with just a few lines of code. Gain expertise in various key areas, including: Computer Vision Deep Learning Neura.
provider Udemy
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California Institute of Technology Udemy

Universal Deep Learning Mastery - 2024 Edition with Updated

Join the "Universal Deep Learning Mastery - 2024 Edition" on Udemy and become a deep learning expert. This comprehensive course will guide you through the process of building intuition from a single neuron to complex deep neural networks, using industry-standard tools like Keras and Tensorflow. Perfect for anyone looking to advance their ski.
provider Udemy
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California Institute of Technology Johns Hopkins University

Advanced Neural Network Techniques

Join the 'Advanced Neural Network Techniques' course and delve into the world of sophisticated neural network methodologies. This comprehensive program provides learners with an in-depth understanding of cutting-edge techniques like Recurrent Neural Networks (RNNs), Autoencoders, Generative Neural Networks, and Deep Reinforcement Learning. Offe.
provider Coursera

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!