Join

Neural Network Courses

395 Courses

California Institute of Technology Udemy

Natural Language Processing Bootcamp in Python

Join our immersive Natural Language Processing Bootcamp in Python, designed to teach you the essentials of Text Mining and NLP. This course will guide you through practical applications of Text Processing, the Natural Language Toolkit (NLTK), Sentiment Analysis, and the implementation of Neural Networks. Ideal for learners passionate about harn.
course image
California Institute of Technology Udemy

YOLO: Custom Object Detection & Web App in Python

course image
California Institute of Technology Udemy

Deep learning for object detection using Tensorflow 2

Immerse yourself in the field of deep learning and object detection with our expertly crafted course, "Deep Learning for Object Detection using TensorFlow 2". This comprehensive program is designed to provide participants with a solid understanding of how to train and evaluate three advanced models: Faster RCNN, SSD, and YOLO v3, utilizing Te.
course image
California Institute of Technology Coursera

Oracle Cloud Infrastructure AI Foundations

Join the Oracle Cloud Infrastructure AI Foundations course and dive into the world of AI. This course offers an in-depth introduction to key concepts in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Specifically designed for those new to the field, it emphasizes practical applications of these technologies withi.
course image
California Institute of Technology Udemy

PyTorch Tutorial - Neural Networks & Deep Learning in Python

course image
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.
course image
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.
course image
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.
course image
California Institute of Technology Udemy

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

course image
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.
course image

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!