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: New
    Status: Preview

    Skills you'll gain: SAS (Software), Predictive Analytics, Regression Analysis, Statistical Modeling, Business Analytics, Machine Learning Methods, Data Cleansing, Data Mining, Data Modeling, Feature Engineering, Application Deployment, Statistical Analysis, Decision Tree Learning, Data Transformation, Process Flow Diagrams, Artificial Neural Networks, Performance Metric

  • Status: Preview

    Hebrew University of Jerusalem

    Skills you'll gain: Electrophysiology, Artificial Neural Networks, Neurology, Computer Science, Cell Biology, Physiology, Psychology, Basic Electrical Systems, Network Analysis, Computational Logic, Simulation and Simulation Software, Mathematical Modeling, Biology

  • Status: New
    Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Generative AI, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Software Visualization, Artificial Neural Networks, Computer Vision, Dimensionality Reduction

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Small Data, Cloud API

  • Status: New
    Status: Free Trial

    Skills you'll gain: Artificial Neural Networks

  • Status: New
    Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Natural Language Processing, Text Mining, Deep Learning, Applied Machine Learning, Python Programming, Artificial Neural Networks, Data Processing, Jupyter

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra

  • Status: Preview

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Network Architecture, Linear Algebra, Calculus

  • Status: Free Trial

    Imperial College London

    Skills you'll gain: Tensorflow, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning

  • Status: Free Trial

    University of Pennsylvania

    Skills you'll gain: Generative AI, Data Management, Big Data, Machine Learning Algorithms, Machine Learning, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

  • 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

  • Status: Free Trial

    Multiple educators

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Financial Market, Artificial Neural Networks