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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    Status: Free Trial

    EDUCBA

    Skills you'll gain: Tensorflow, Computer Vision, Deep Learning, Amazon Elastic Compute Cloud, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Application Deployment, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, Feature Engineering, Application Development, Data Processing, System Requirements

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview

    Edge Impulse

    Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Natural Language Processing, Python Programming, Generative Model Architectures

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    35 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Imperial College London

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
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    Beginner · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    Simplilearn

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Alberta

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Predictive Modeling, Pseudocode, Probability Distribution

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    Rating, 4.7 out of 5 stars
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    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    DeepLearning.AI

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    Rating, 4.7 out of 5 stars
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    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial

    IBM

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    Rating, 4.6 out of 5 stars
    269 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Artificial Neural Networks, Forecasting, Data Mining, Supervised Learning, Exploratory Data Analysis, Probability & Statistics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free

    DeepLearning.AI

    Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, Prompt Engineering, Sampling (Statistics), Artificial Neural Networks, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    272 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    EDUCBA

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  • Status: Preview

    DeepLearning.AI

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    Rating, 4 out of 5 stars
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