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

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Processing, Pandas (Python Package), Big Data, Data Cleansing, Data Science, Data Visualization, Python Programming, Data Manipulation, Exploratory Data Analysis, Deep Learning, Regression Analysis, 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: Free Trial

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

  • 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

  • Skills you'll gain: Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Pipelines, Data Processing, Data Cleansing, Data Transformation, Deep Learning, Scalability, Application Deployment, Artificial Neural Networks, Machine Learning

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

  • University of Colorado Boulder

    Skills you'll gain: Computer Vision, Display Devices, Power Electronics, Control Systems, Computer Displays, Image Analysis, Tensorflow, Electronic Systems, Deep Learning, Debugging, Artificial Neural Networks, Electrical Engineering, USB, Semiconductors, Electrical Power, Electric Power Systems, Electronics, Electronics Engineering, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming Tools