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

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

  • Status: Preview

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Applied Machine Learning, Natural Language Processing

  • Status: Preview

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

  • 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: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, MLOps (Machine Learning Operations), Deep Learning, Data Cleansing, Cloud Computing, Data Transformation, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)

  • Status: New

    Clemson University

    Skills you'll gain: Data Ethics, Regression Analysis, Data Science, Keras (Neural Network Library), Dimensionality Reduction, Tensorflow, Matplotlib, Data Analysis, Artificial Neural Networks, Data Mining, Data Wrangling, Statistical Analysis, Scikit Learn (Machine Learning Library), Analytics, Data Visualization, Predictive Modeling, Unsupervised Learning, Exploratory Data Analysis, Supervised Learning, Machine Learning Algorithms

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API

  • Status: Preview

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Network Architecture

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Bayesian Statistics, Applied Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Information Privacy, Case Studies

  • Status: Preview

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

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

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