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

  • Status: Preview

    University of Colorado Boulder

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: Preview

    Google Cloud

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, Artificial Neural Networks

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, Artificial Neural Networks

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Applied Machine Learning, Text Mining

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Fundação Instituto de Administração

    Skills you'll gain: Marketing Analytics, Sales Strategy, Customer Analysis, Marketing Strategies, Data Visualization Software, Customer Engagement, Analytics, Consumer Behaviour, Digital Advertising, Regression Analysis, Market Research, Statistical Analysis, Target Market, Pandas (Python Package), Predictive Modeling, Key Performance Indicators (KPIs), Decision Tree Learning, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, Machine Learning Methods, Artificial Neural Networks, Natural Language Processing

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

    Skills you'll gain: Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Artificial Neural Networks, Data Pipelines, Data Processing, Application Deployment, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • Status: New

    Clemson University

    Skills you'll gain: Data Ethics, Regression Analysis, Data Science, Keras (Neural Network Library), Dimensionality Reduction, Tensorflow, Matplotlib, Data Analysis, Artificial Neural Networks, Data Mining, Data Wrangling, Statistical Analysis, Scikit Learn (Machine Learning Library), Analytics, Data Visualization, Predictive Modeling, Unsupervised Learning, Exploratory Data Analysis, Supervised Learning, Machine Learning Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Preview

    Google Cloud

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Deep Learning

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview

    DeepLearning.AI

    Skills you'll gain: Natural Language Processing, Deep Learning, Generative AI, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Algorithms, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API

    Intermediate · Specialization · 1 - 4 Weeks