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Neural Network Courses

305 Courses

California Institute of Technology Coursera

AI and Machine Learning Algorithms and Techniques

Delve into the essential algorithms and methodologies at the heart of AI and Machine Learning with this in-depth course. Discover how pre-trained large-language models (LLMs) and various learning paradigms like supervised, unsupervised, and reinforcement learning come together to solve complex business challenges. Gain hands-on experience in.
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California Institute of Technology Coursera

IBM AI Engineering

Coursera AI technology is anticipated to expand by 37.3% by the year 2030, according to Forbes. The IBM AI Engineering Professional Certificate, offered through Coursera, equips data scientists, machine learning engineers, software engineers, and technical specialists with skills to excel as AI engineers. Throughout the program, participa.
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California Institute of Technology DataCamp

Reinforcement Learning from Human Feedback (RLHF)

Join the course on Reinforcement Learning from Human Feedback to effectively align Generative AI models with human values and preferences. Gain hands-on proficiency with advanced Large Language Models (LLMs), and delve into the complexities of designing reward models. Elevate your understanding of AI that not only learns from inputs bu.
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California Institute of Technology Udemy

Data Science: Modern Deep Learning in Python

Immerse yourself in the world of data science with our course on Modern Deep Learning in Python. Designed for both beginners and experienced practitioners, this course offers a comprehensive exploration of cutting-edge deep learning methods using popular Python libraries like TensorFlow, Theano, Keras, PyTorch, CNTK, and MXNet. Leverage the.
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California Institute of Technology Udemy

Deep Learning with Keras

Join the Deep Learning with Keras course on Udemy to enhance your understanding of deep learning concepts using the powerful Keras library. Dive into models, layers, and modules, and get hands-on experience in building a neural network along with an image classification model. Perfect for aspiring data scientists looking to specialize in neur.
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California Institute of Technology

MATLAB and Scientific Computation

"MATLAB and Scientific Computation" is an advanced course tailored for engineering students, focusing on the versatile MATLAB software. This powerful tool is known for its capabilities in numerical calculations and data visualization, incorporating specialized packages across various fields, and offering comprehensive program development feature.
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California Institute of Technology

人工智能基础核心技术之事件检测

欢迎参加由清华大学提供的“人工智能基础核心技术之事件检测”课程。在此课程中，您将学习如何运用人工智能中的事件检测技术来识别和分析数据流中的重大事件或模式。这是一门中文课程，旨在帮助您深入理解事件检测在人工智能中的应用。 本课程涵盖多个关键主题，包括人工智能、机器学习、计算机视觉、神经网络、时间序列分析、信号处理及模式识别。这为您在这些领域的进一.
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California Institute of Technology XuetangX

AI TIME PhD ICLR专场七

参与AI TIME PhD ICLR专场七，探索人工智能研究的最新突破。这次中文会议由国际学习表征会议（ICLR）的博士生主讲，讲述关于人工智能和机器学习领域的尖端发展和创新方法。 本次会议为所有对人工智能、机器学习和计算机科学有兴趣的学者和研究人员提供了绝佳机会。您将获得权威的信息和见解，深入了解深度学习和神经网络方面的最新研究动向。 主办单位：学堂在线 (Xueta.
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California Institute of Technology XuetangX

AI TIME PhD 华南理工实验室专场二

Join an exclusive academic session that delves into pioneering research and discussions from the AI TIME PhD program at South China University of Technology laboratory. This event focuses on the latest advancements in artificial intelligence and technological innovations.
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California Institute of Technology XuetangX

AI TIME PhD ICLR专场三

Discover groundbreaking advancements in artificial intelligence at the AI TIME PhD ICLR专场三. This conference session, presented in Chinese, features a series of expert presentations from the International Conference on Learning Representations (ICLR). Engage with thought leaders in the AI sector as they share their insights and discuss stat.
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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!