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: Large Language Modeling, ChatGPT, LLM Application, Generative AI, Generative Model Architectures, Natural Language Processing, Risk Management Framework, Prompt Engineering, Responsible AI, Data Ethics, Deep Learning, Artificial Neural Networks, Artificial Intelligence

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    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Network Model, Network Architecture, Algorithms

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    Skills you'll gain: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Performance Tuning, Classification And Regression Tree (CART)

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    Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning

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    Skills you'll gain: Engineering Practices, Matlab, Engineering Calculations, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Artificial Neural Networks

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    Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms

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    Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Computational Logic, Supervised Learning, Computer Science, Decision Tree Learning, Unsupervised Learning, Algorithms

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    Johns Hopkins University

    Skills you'll gain: Cybersecurity, Cyber Threat Intelligence, Email Security, Threat Detection, Jupyter, Machine Learning Algorithms, Artificial Intelligence, Multi-Factor Authentication, Anomaly Detection, Computer Vision, Artificial Neural Networks, Machine Learning

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    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

  • Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Cloud Computing, Development Environment

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Deep Learning, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Image Analysis, Graph Theory, Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Health Informatics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Data Synthesis, Python Programming

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    Università di Napoli Federico II

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Programming Principles, Data Management