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"

  • Skills you'll gain: Tensorflow, Applied Machine Learning, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning

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    Skills you'll gain: Artificial Neural Networks

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    Duke University

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Data-Driven Decision-Making, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks

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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

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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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    Saïd Business School, University of Oxford

    Skills you'll gain: Responsible AI, Artificial Neural Networks, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Generative AI, Generative Model Architectures, Data Ethics, Deep Learning, Machine Learning, Business Ethics, Supervised Learning, Reinforcement Learning, Unsupervised Learning

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    DeepLearning.AI

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Computer Vision, Python Programming, Machine Learning, NumPy, Performance Tuning, Linear Algebra, Calculus

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    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering, Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Feature Engineering

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    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, Machine Learning, Machine Learning Methods, Artificial Neural Networks, Algorithms, Information Privacy, Decision Support Systems, Data Integrity

  • Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Medical Imaging, Computer Vision, Machine Learning, X-Ray Computed Tomography

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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