Artificial Neural Networks

Artificial Neural Networks (ANN) are computing systems inspired by biological neural networks that are the backbone of artificial intelligence (AI) and machine learning. Coursera's ANN skill catalogue teaches you the fundamentals and applications of these complex systems. You'll learn about the architecture of ANN, including layers, nodes, activation functions, and backpropagation. You'll understand how to train ANN for tasks such as pattern recognition, prediction, and decision making. Further, you will explore various types of neural networks like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Deep Neural Networks (DNN). This knowledge will equip you to develop cutting-edge AI applications in various fields such as computer vision, natural language processing, and robotics.
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Results for "artificial neural networks"

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    DeepLearning.AI

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    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Deep Learning, Responsible AI, Artificial Neural Networks, Data Ethics, Computer Vision, Unsupervised Learning

  • Status: Preview

    Sungkyunkwan University

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    University of Illinois Urbana-Champaign

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  • University of Colorado Boulder

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Prompt Engineering, LLM Application, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Generative AI, Network Architecture, Artificial Intelligence, Machine Learning Algorithms

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