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Neural Network Courses

305 Courses

California Institute of Technology LinkedIn Learning

Training Neural Networks in Python

Explore the fascinating world of neural networks with our comprehensive course, "Training Neural Networks in Python", offered through LinkedIn Learning. This course is designed for individuals eager to understand the intricacies of neural networks and how to build them using Python. Whether you're interested in Python programming, machine learning,.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Neural Networks Made Easy

Join our "Neural Networks Made Easy" course on Udemy and dive into the simplicity of neural networks that even your dog could understand! This course is meticulously designed for beginners and covers a broad range of categories including Python, Deep Learning, Neural Networks, NumPy, pandas, and Calculus. Whether you're a student eager to expand yo.
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provider Udemy
pricing Free Online Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Pluralsight

Natural Language Processing with PyTorch

Delve into the fascinating world of Machine Learning and Artificial Intelligence with our comprehensive course on Natural Language Processing (NLP) using PyTorch, presented by Pluralsight. This immersive course is meticulously designed to teach you cutting-edge neural network frameworks and architectures, including recurrent neural networks (RNNs),.
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provider Pluralsight
pricing Free Trial Available
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

Python do básico ao avançado + inteligência artificial

Curso Completo: Python do Básico ao Avançado + Inteligência ArtificialAprenda a desenvolver software eficaz usando Python, dominar tecnologias de inteligência artificial para classificação de imagens, fazer previsões precisas e muito mais neste curso abrangente. Oferecido por Udemy, este programa é ideal para quem busca mergulhar nas profundezas da.
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provider Udemy
pricing Paid Course
duration 12 hours 10 minutes
sessions On-Demand
California Institute of Technology Coursera

How Diffusion Models Work

Embark on a transformative journey into the world of generative AI with the "How Diffusion Models Work" course, offered on Coursera. Guided by the expertise of Sharon Zhou, this one-hour intensive course demystifies the advanced techniques behind diffusion models, empowering you to not only understand but also to build your own models from the grou.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Image Recognition with Neural Networks From Scratch(FREE)

Unlock the power of Image Recognition with our FREE course, "Image Recognition with Neural Networks From Scratch," offered exclusively on Udemy. Dive into the world of Python programming and learn how to develop a sophisticated Image Recognition Program from the ground up. This course is meticulously crafted for individuals eager to master neural n.
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provider Udemy
pricing Paid Course
duration 1 hour 38 minutes
sessions On-Demand
California Institute of Technology Pluralsight

Literacy Essentials: Core Concepts Recurrent Neural Networks

Embark on a journey to master the essence of Recurrent Neural Networks (RNN) with our comprehensive course, "Literacy Essentials: Core Concepts Recurrent Neural Networks," offered through Pluralsight. This meticulously designed program is your gateway to understanding not just what Recurrent Neural Networks are but also how they compare and contras.
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provider Pluralsight
pricing Free Trial Available
duration 1 hour 13 minutes
sessions On-Demand
California Institute of Technology Coursera

Finetuning Large Language Models

Discover the power of finetuning Large Language Models (LLMs) with this comprehensive short course offered by Coursera. Dive deep into the world of neural networks and enhance your skills in prompt engineering through our targeted training. By the end of this course, you'll gain proficiency in: Deciphering the appropriate instances for applying fi.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Visualizing Filters of a CNN using TensorFlow

Explore the intricacies of Convolutional Neural Networks (CNNs) with our engaging guided project, "Visualizing Filters of a CNN using TensorFlow". This concise, 1-hour interactive course offers a unique opportunity to dive deep into the world of neural networks by utilizing the acclaimed VGG16 model. Discover how to illuminate the workings of vario.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Computer Vision For iOS Developers Course

Discover the power of Computer Vision for iOS applications with our comprehensive course offered by Udemy. This specialized training is designed for iOS Developers eager to advance their skills in Object Detection and Semantic Segmentation models. Learn the essentials of training these models specifically for mobile applications and seamlessly inte.
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provider Udemy
pricing Free Online Course
duration 1-2 hours
sessions On-Demand

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!