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"

  • Status: New
    Status: Free Trial

    Packt

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    4.7
    Rating, 4.7 out of 5 stars
    42 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Saïd Business School, University of Oxford

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    4.8
    Rating, 4.8 out of 5 stars
    155 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Alberta

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    4.7
    Rating, 4.7 out of 5 stars
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    4.6
    Rating, 4.6 out of 5 stars
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    Intermediate · Guided Project · Less Than 2 Hours

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    4.8
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    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

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    4.3
    Rating, 4.3 out of 5 stars
    116 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    Illinois Tech

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    4.4
    Rating, 4.4 out of 5 stars
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    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial

    Stanford University

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