Deep Learning

Deep Learning is a subset of machine learning that uses artificial neural networks with multiple layers - also known as deep neural networks - to model and understand complex patterns and relationships in datasets. Coursera's deep learning catalogue teaches you the underlying principles and methods of deep learning. You'll learn how to build and deploy deep neural networks, utilise various techniques for training and optimising deep learning models, and understand their applications across various industries including healthcare, finance, and autonomous vehicles. You'll further grasp the concepts of Convolutional Networks, Recurrent Networks, and Generative Adversarial Networks, preparing you for various roles in the field of AI and data science.
103credentials
5online degrees
381courses

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Explore the Deep Learning Course Catalog

  • Status: New
    Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Multimodal Prompts, Generative Model Architectures, Keras (Neural Network Library), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Ethics, Tensorflow, Microsoft Excel, Generative AI, Data Processing, Applied Machine Learning, Responsible AI, Linear Algebra, Data Manipulation

  • Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning, Python Programming

  • Status: Preview

    Skills you'll gain: Debugging, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Simulations, Machine Learning, Statistical Machine Learning, Estimation, Performance Tuning

  • Status: Free Trial

    Columbia University

    Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Machine Learning, Linear Algebra

  • Status: Preview

    Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Restful API, Computer Vision, Artificial Neural Networks

  • Status: Free Trial

    Università di Napoli Federico II

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Manipulation, Data Modeling

  • Skills you'll gain: Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Processing, Data Visualization, Data Synthesis, Python Programming

  • Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Plot (Graphics), Machine Learning, Python Programming, Data Science

  • Status: Free Trial

    Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Analytics, Data Analysis, Geospatial Information and Technology, Machine Learning Methods, Business Intelligence, Internet Of Things, Deep Learning

  • Status: Free Trial

    Skills you'll gain: Data Ethics, Responsible AI, Machine Learning, Deep Learning, Information Privacy, Data Validation, Decision Support Systems, Health Informatics, Predictive Modeling, Verification And Validation, Artificial Intelligence and Machine Learning (AI/ML), Human Centered Design, Data Security

  • Status: Preview

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning, Network Architecture, Supervised Learning

  • Status: Free Trial

    Università di Napoli Federico II

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Programming Principles, Data Management