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Neural Network Courses

426 Courses

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California Institute of Technology edX

IA para todos: domina los conceptos básicos

En este MOOC, aprenderás qué es la IA y comprenderás sus aplicaciones y casos de uso y cómo está transformando nuestras vidas. Explorarás los conceptos básicos de la IA, como el aprendizaje automático, el aprendizaje profundo y las redes neuronales, así como los casos de uso y las aplicaciones de la IA. Estarás expuesto a las preocupaciones que r.
provider edX
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California Institute of Technology Coursera

Introduction to On-Device AI

Introduction to On-Device AI As AI moves beyond the cloud, on-device inference is rapidly expanding to smartphones, IoT devices, robots, AR/VR headsets, and more. Billions of mobile and other edge devices are ready to run optimized AI models. This course equips you with key skills to deploy AI on device: Explore how deploying models on devic.
provider Coursera
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California Institute of Technology Pluralsight

Troubleshooting and Improving Neural Network Performance

Troubleshooting and Improving Neural Network Performance This course will teach you neural network troubleshooting and performance tuning from a data scientist's perspective. Understand various troubleshooting techniques for neural networks and how to improve neural network performance effectively. In this course, Troubleshooting and Improving.
provider Pluralsight
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California Institute of Technology Pluralsight

Object Detection Recognition and Tracking

Object Detection Recognition and Tracking Computer vision applications can automate and enhance the analysis and interpretation of visual data beyond human capabilities. This course will teach you how image classifiers can perform object detection, recognition, and tracking using Tensorflow. In this course, Object Detection Recognition and Tracki.
provider Pluralsight
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California Institute of Technology Pluralsight

Neural Networks for Image Classification

Neural Networks for Image Classification Unlock the potential of image classification with neural networks. This course will teach you to extract features, build, and evaluate models using TensorFlow, and explore advanced architectures with transfer learning. In the digital age, the ability to categorize and understand images through.
provider Pluralsight
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California Institute of Technology Pluralsight

Using Neural Networks for Image and Voice Data Analysis

Using Neural Networks for Image and Voice Data Analysis Neural networks can be configured in various ways depending on the type of data and objectives. This course will help you understand how to properly choose a neural network architecture for image or audio data. Deep learning, as opposed to machine learning, allows a more robust way to dea.
provider Pluralsight
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California Institute of Technology Pluralsight

Implementing Neural Network Solutions in Enterprise Environments

Implementing Neural Network Solutions in Enterprise Environments This course covers implementing neural network solutions and models in an enterprise. The topics include model deployment strategies, monitoring systems in production, integration with ETL and databases, and security. Neural networks are rapidly becoming integral to enterprise soluti.
provider Pluralsight
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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.
provider Pluralsight
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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.
provider Coursera
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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.
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!