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"

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    Skills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Data Analysis

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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)

  • Status: New
    Status: Free Trial

    Birla Institute of Technology & Science, Pilani

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis

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    University of Colorado Boulder

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Exploratory Data Analysis, Data Visualization, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Microsoft Excel, Machine Learning Methods, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

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    Skills you'll gain: Generative AI, LLM Application, Prompt Engineering, Training Programs, Large Language Modeling, Program Evaluation, Applied Machine Learning, Data Processing, Benchmarking, Artificial Neural Networks

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    University of Colorado Boulder

    Skills you'll gain: Problem Solving, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Probability, Artificial Neural Networks, Mathematical Modeling, Deductive Reasoning, Algorithms, Human Development, Analytical Skills, Behavioral Economics, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Artificial Intelligence, Systems Thinking, Human Learning, Theoretical Computer Science, Human Machine Interfaces

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  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, Software Development, Machine Learning Methods, Performance Tuning, C and C++, System Programming, Linear Algebra, Computer Graphics, Distributed Computing, C++ (Programming Language), Computer Vision, Programming Principles, Data Processing, OS Process Management, Data Structures, Machine Learning

  • Coursera Project Network

    Skills you'll gain: PyTorch (Machine Learning Library), Heat Maps, Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision

  • Status: Preview

    DeepLearning.AI

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