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.
61credentials
295courses

Explore the Neural Networks Course Catalog

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

    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

  • Status: Preview

    University of Michigan

    Skills you'll gain: FinTech, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis, Predictive Analytics

  • 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

  • Status: Free Trial

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)

  • Status: Preview

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Transformation, Deep Learning, MLOps (Machine Learning Operations), Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Scalability, Feature Engineering, Artificial Neural Networks, Data Pipelines, Application Deployment, Application Programming Interface (API)

  • Status: Preview

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Computer Vision, Artificial Neural Networks, Predictive Modeling, Exploratory Data Analysis, Performance Tuning

  • Status: Preview

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

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