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: Preview

    Google Cloud

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

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

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

    Advanced · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Workflow Management, Data Governance, Data Management, Google Cloud Platform, Data Processing, Applied Machine Learning, Tensorflow, Data Pipelines, Machine Learning, Feature Engineering, Data Transformation, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Natural Language Processing, Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Text Mining

    Advanced · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Pipelines, Data Processing, Data Cleansing, Data Transformation, Deep Learning, Scalability, Application Deployment, Artificial Neural Networks, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • University of Colorado Boulder

    Skills you'll gain: Computer Vision, Display Devices, Power Electronics, Control Systems, Computer Displays, Image Analysis, Tensorflow, Electronic Systems, Deep Learning, Debugging, Artificial Neural Networks, Electrical Engineering, USB, Semiconductors, Electrical Power, Electric Power Systems, Electronics, Electronics Engineering, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming Tools

    Credit offered

    Graduate Certificate · 6 - 12 Months