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

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

  • 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

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    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: New
    Status: Free Trial

    Skills you'll gain: Artificial Neural Networks

  • Status: Free Trial

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, Data-Driven Decision-Making, Artificial Neural Networks, Performance Tuning

  • Status: Free Trial

    Imperial College London

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

  • Status: New
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    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

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    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: 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

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    University of Toronto

    Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Automation, Deep Learning, Simulation and Simulation Software, Software Architecture, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Simulations, Scenario Testing, Data Structures

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    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Network Model, Object Oriented Programming (OOP), Computer Vision

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    Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric