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"

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Natural Language Processing, Keras (Neural Network Library), Generative AI, Generative Model Architectures, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Tensorflow, Deep Learning, Feature Engineering, Performance Testing, Machine Learning Methods, Applied Machine Learning, Google Cloud Platform, Application Development, Data Processing, Systems Development, Python Programming, Data Transformation

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview

    DeepLearning.AI

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

    4
    Rating, 4 out of 5 stars
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Keras (Neural Network Library), Deep Learning, Predictive Modeling, Artificial Neural Networks, Machine Learning Methods, Forecasting, Data Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    5.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Text Mining, Machine Learning Methods, Forecasting, Data Processing, Machine Learning, Supervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    25K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • IBM

    Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Applied Machine Learning, Supervised Learning, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, PyTorch (Machine Learning Library), Data Processing, Google Cloud Platform

    4.3
    Rating, 4.3 out of 5 stars
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Coursera

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

    4.4
    Rating, 4.4 out of 5 stars
    81 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    EDUCBA

    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

    Mixed · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    MathWorks

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Machine Learning, Control Systems, Simulations

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    DeepLearning.AI

    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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Alberta

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    843 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    EDUCBA

    Skills you'll gain: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months