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.
84credentials
4online degrees
366courses

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Explore the Deep Learning Course Catalog

  • Status: New
    Status: Free Trial

    Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

  • 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: New
    Status: Preview

    Skills you'll gain: Responsible AI, Open Source Technology, Data Ethics, Artificial Intelligence, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Information Privacy, Performance Tuning, Data Security

  • Status: Preview

    Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Generative Model Architectures, Computer Vision, Applied Machine Learning

  • Status: New

    Clemson University

    Skills you'll gain: Data Ethics, Regression Analysis, Data Science, Keras (Neural Network Library), Dimensionality Reduction, Tensorflow, Matplotlib, Data Analysis, Data Wrangling, Statistical Analysis, Scikit Learn (Machine Learning Library), Deep Learning, Data Visualization, Statistical Modeling, Predictive Modeling, Unsupervised Learning, Supervised Learning, Python Programming, Machine Learning Algorithms, Transaction Processing

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

  • Status: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unstructured Data, Probability & Statistics, Dimensionality Reduction, Algorithms

  • Status: New
    Status: Free Trial

    Skills you'll gain: Large Language Modeling, Generative Model Architectures, Multimodal Prompts, Prompt Engineering, Deep Learning, Application Deployment, Reinforcement Learning, Image Analysis, Performance Tuning, Computer Vision

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Text Mining, Data Processing, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Unstructured Data, Deep Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Development Environment, Machine Learning

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