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

Results for "artificial neural networks"

  • Status: Preview

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

  • 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

  • Status: Preview

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

  • 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

  • Status: Free Trial

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms, Artificial Neural Networks

  • 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, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow

  • Status: Preview

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

  • 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: Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Natural Language Processing

  • Status: Preview

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

  • Status: Preview

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

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