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: Free Trial

    SAS

    Skills you'll gain: Responsible AI, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Data Analysis, Regression Analysis, Performance Analysis, Deep Learning, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    64 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Data Manipulation

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Tensorflow, Image Analysis, Artificial Neural Networks, Application Deployment, Data Processing, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

    Beginner · Guided Project · Less Than 2 Hours

  • Coursera

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Feature Engineering, Data Validation

    3.9
    Rating, 3.9 out of 5 stars
    60 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview

    The University of Chicago

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: PyTorch (Machine Learning Library), Heat Maps, Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Coursera

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    4.6
    Rating, 4.6 out of 5 stars
    57 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview

    Universitat Autònoma de Barcelona

    Skills you'll gain: Computer Vision, Image Analysis, Machine Learning Methods, Performance Testing, Feature Engineering, Spatial Analysis, Supervised Learning, Machine Learning Algorithms, Deep Learning, Artificial Neural Networks

    4.3
    Rating, 4.3 out of 5 stars
    80 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial

    H2O.ai

    Skills you'll gain: Generative AI, LLM Application, Prompt Engineering, Training Programs, Large Language Modeling, Program Evaluation, Applied Machine Learning, Data Processing, Benchmarking, Artificial Neural Networks

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  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

    4.8
    Rating, 4.8 out of 5 stars
    22 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    University of Maryland, College Park

    Skills you'll gain: Apache Hadoop, Machine Learning Methods, Customer Analysis, MarTech, Marketing Analytics, Digital Marketing, Marketing Strategies, Big Data, Machine Learning, Artificial Neural Networks, Performance Review, Machine Learning Algorithms, Deep Learning, Artificial Intelligence, Predictive Analytics

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  • Status: Preview

    DeepLearning.AI

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

    Beginner · Course · 1 - 4 Weeks