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

  • Status: Preview

    Imperial College London

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Data Validation, Predictive Modeling, Supervised Learning, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Jupyter

  • Status: Preview

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, Artificial Neural Networks

  • Status: Preview

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, Artificial Neural Networks

  • Status: Preview

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Applied Machine Learning, Text Mining, Deep Learning, Artificial Neural Networks

  • Status: New
    Status: Preview

    University of the Arts London

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, OpenAI, Writing and Editing, Artificial Intelligence, Machine Learning Methods, Responsible AI, Natural Language Processing, Writing, Artificial Neural Networks, Data Ethics, Deep Learning

  • Status: Preview

    Skills you'll gain: Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining

  • Status: Preview

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Artificial Neural Networks, Data Pipelines, Data Processing, Application Deployment, Application Programming Interface (API)

  • Status: Free Trial

    Fundação Instituto de Administração

    Skills you'll gain: Marketing Analytics, Sales Strategy, Customer Analysis, Marketing Strategies, Data Visualization Software, Customer Engagement, Analytics, Consumer Behaviour, Digital Advertising, Regression Analysis, Market Research, Statistical Analysis, Target Market, Pandas (Python Package), Predictive Modeling, Key Performance Indicators (KPIs), Decision Tree Learning, Artificial Neural Networks

  • Status: Free Trial

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)

  • Status: Preview

    University of Michigan

    Skills you'll gain: FinTech, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis, Predictive Analytics

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Applied Machine Learning, Text Mining

  • Status: New
    Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning

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