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: Preview

    Skills you'll gain: Descriptive Statistics, Data Literacy, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Deep Learning, Regression Analysis, Data Manipulation, Machine Learning

  • Status: Preview

    University of Colorado Boulder

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, ChatGPT, Image Analysis, Prompt Engineering, Natural Language Processing, Deep Learning, Probability & Statistics

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Deep Learning, Machine Learning Methods, Application Deployment, NumPy, Artificial Neural Networks, Supervised Learning, Pandas (Python Package)

  • Skills you'll gain: Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Google Cloud Platform, Cloud Computing, Scientific Visualization

  • Status: New
    Status: Free Trial

    Saïd Business School, University of Oxford

    Skills you'll gain: Financial Services, Artificial Intelligence, FinTech, Financial Regulation, Banking, Fraud detection, Machine Learning, Data Ethics, Natural Language Processing, AI Personalization, Deep Learning, Credit Risk, Data-Driven Decision-Making, Case Studies, Reinforcement Learning, Big Data, Algorithms, Data Management, Customer Service

  • Status: Preview

    Korea Advanced Institute of Science and Technology(KAIST)

    Skills you'll gain: Linear Algebra, Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning, Mathematical Modeling

  • Status: New
    Status: Preview

    Skills you'll gain: Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Unsupervised Learning, Tensorflow, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Artificial Intelligence, Computer Vision

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Supervised Learning, MLOps (Machine Learning Operations), Jupyter, Big Data, Deep Learning, Artificial Neural Networks, Responsible AI, No-Code Development, Data Transformation, Applied Machine Learning, Data Pipelines

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Matplotlib, Generative AI, NumPy, Object Oriented Programming (OOP), Deep Learning, Image Analysis, Plot (Graphics), Machine Learning Algorithms, Object Oriented Design, Applied Machine Learning, Integrated Development Environments, Pandas (Python Package), Python Programming, Machine Learning, Development Environment, Event-Driven Programming, Programming Principles, Computer Programming

  • Status: Preview

    Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Diagnostic Radiology, Computer Vision, Radiology, Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Epidemiology, Deep Learning

  • Status: Preview

    Skills you'll gain: Computer Vision, Image Analysis, Machine Learning Methods, Performance Testing, Feature Engineering, Spatial Analysis, Supervised Learning, Machine Learning Algorithms, Deep Learning, Artificial Neural Networks

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