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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Explore the Neural Networks Course Catalog

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    Skills you'll gain: Generative AI, Tensorflow, Generative Model Architectures, Image Analysis, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Computer Vision

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    Rating, 4.9 out of 5 stars
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    DeepLearning.AI

    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

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    Rating, 4.7 out of 5 stars
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  • Status: Preview

    Universidad Austral

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Analysis, Applied Machine Learning, Machine Learning, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

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    DeepLearning.AI

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Responsible AI, Data Ethics, Deep Learning, Machine Learning, Image Quality, Image Analysis, Artificial Neural Networks, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    683 reviews

    Intermediate · Course · 1 - 4 Weeks

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    4.6
    Rating, 4.6 out of 5 stars
    846 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Packt

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    Beginner · Course · 3 - 6 Months

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    Skills you'll gain: Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Visualization (Computer Graphics), Applied Machine Learning, Network Architecture, Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Skills you'll gain: Classification And Regression Tree (CART), Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
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    4.7
    Rating, 4.7 out of 5 stars
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    4.6
    Rating, 4.6 out of 5 stars
    48 reviews

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