Neural Network Courses

212 Courses

Applications of TinyML

Discover the world of Tiny Machine Learning (TinyML) and explore its vast applications with the "Applications of TinyML" course provided by Harvard University through edX. This course, following the Foundations of Tiny ML, delves into how devices like Google Home process commands like “OK Google,” and whether these devices are constantly listening..
course image
provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 2-4 hours a week
sessions On-Demand

Deep Learning and Neural Networks for Financial Engineering

Explore the frontiers of Artificial Intelligence with HEC Paris and edX Professional Education through the "Deep Learning and Neural Networks for Financial Engineering" course. This comprehensive program dives into how deep learning and neural networks can transform the landscape of financial engineering. Participants will learn the application of.
course image
provider edX  Professional Education
pricing Paid Course
duration 7 weeks, 4-6 hours a week

CUDA Advanced Libraries

Embark on a comprehensive journey into the realm of GPU computing with the "CUDA Advanced Libraries" course, proudly presented by Johns Hopkins University through Coursera. This pivotal training completes the GPU specialization series, dedicating itself to the mastery of CUDA Toolkit's premier libraries. Participants will immerse themselves in the.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 25 hours
sessions On-Demand

Stanford Seminar - Deep Learning in Speech Recognition

Title: Stanford Seminar - Deep Learning in Speech Recognition Description: Embark on a comprehensive journey through the realm of artificial intelligence with Stanford University's seminar on Deep Learning in Speech Recognition. This meticulously designed course offers a deep dive into the history, development, and pivotal applications of deep lear.
course image
provider YouTube
pricing Free Online Course
duration 1 hour 13 minutes
sessions On-Demand

Predictive Analytics: Basic Modeling Techniques

Explore the fundamentals of Predictive Analytics in this comprehensive course, a crucial subset of Artificial Intelligence (AI) technologies shaping the future. Understand how to develop models from data and gauge their effectiveness, an essential skill set in today's tech landscape. This course delves into machine learning and data science concept.
course image
provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 5-7 hours a week
sessions On-Demand

Deep Learning and Reinforcement Learning

Title: Deep Learning and Reinforcement Learning Description: Engage with two of the most advanced disciplines in the field of Machine Learning through this comprehensive course offered by Coursera. Delve into Deep Learning, a key subset of Machine Learning that underpins many current AI applications, touching aspects of both Supervised and Unsuperv.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 32 hours
sessions On-Demand

NLP Modelos y Algoritmos

Curso de NLP: Modelos y Algoritmos Impartido por la University of Manchester y disponible en Coursera, este curso está diseñado para proporcionarte una comprensión profunda de los algoritmos de Procesamiento de Lenguaje Natural (NLP). A lo largo del curso, explorarás y aplicarás los últimos y más populares algoritos en NLP para resolver problemas e.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand

Deep Learning with PyTorch

Title: Deep Learning with PyTorch Description: Dive into the world of Artificial Intelligence with our comprehensive course on Deep Learning using PyTorch, presented by DataCamp. This engaging course is designed for individuals eager to master deep learning techniques and apply them using the PyTorch framework. From learning basic neural network co.
course image
provider DataCamp
pricing Free Trial Available
duration 4 hours
sessions On-Demand

Deep Learning and Neural Networks with Python

Embark on a transformative journey into the realms of deep learning, artificial intelligence, and artificial neural networks with our comprehensive course, tailored for individuals with prior Python experience. Master the essentials and beyond in this dynamic field, designed to demystify the complex technologies that are shaping our future. This en.
course image
provider Skillshare
pricing Free Trial Available
duration 4 hours 24 minutes
sessions On-Demand

Introduction to Deep Learning & Neural Networks with Keras

Title: Introduction to Deep Learning & Neural Networks with Keras Embark on your journey to mastering Deep Learning with our comprehensive course on Coursera. Whether you're aiming to start a career in this innovative field or simply curious about the buzzwords like "neural networks" and "deep learning models," this course is designed just for you!.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 8-9 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!