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Neural Network Courses

395 Courses

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.
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California Institute of Technology Udemy

PyTorch Tutorial - Neural Networks & Deep Learning in Python

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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.
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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.
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California Institute of Technology Udemy

YOLO: Custom Object Detection & Web App in Python

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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.
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California Institute of Technology Udemy

Neural Networks in Python from Scratch: Complete guide

Embark on a complete journey to understand neural networks with our course "Neural Networks in Python from Scratch." Dive into the world of Deep Learning, learning to build neural networks with Python from the ground up. Gain insights into both theory and hands-on practice, providing you with a robust understanding of deep learning methodol.
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California Institute of Technology Udemy

How to easily use ANN for prediction mapping using GIS data?

Unlock the power of Artificial Neural Networks (ANNs) for Geographical Information Systems (GIS) with this comprehensive Udemy course. You'll learn how to leverage R programming to create effective prediction mapping using GIS data. This course, designed for enthusiasts and professionals alike, offers a simplified step-by-step methodology tha.
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California Institute of Technology Udemy

Artificial Intelligence III - Deep Learning in Java

Embark on an in-depth journey into the world of Artificial Intelligence with the "Artificial Intelligence III - Deep Learning in Java" course by Udemy. Dive into core concepts of deep learning, including Deep Learning Fundamentals, Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs) along with advanced topics like LSTM.
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California Institute of Technology Udemy

Introduction to Artificial Neural Network and Deep Learning

Unlock the potential of artificial neural networks and deep learning with our comprehensive course on Udemy. Delve into the best machine learning techniques specifically tailored for data science, with practical applications in image recognition using Java and the Neuroph framework. Perfect for aspiring data scientists and developers eager t.
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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!