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.
102credentials
6online degrees
380courses

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Explore the Deep Learning Course Catalog

  • Status: Free Trial

    University of Glasgow

    Skills you'll gain: Data Mining, Deep Learning, Clinical Data Management, Health Informatics, Responsible AI, Applied Machine Learning, Feature Engineering, Machine Learning, Predictive Modeling, Artificial Intelligence, Artificial Neural Networks, Time Series Analysis and Forecasting

  • Status: Free Trial

    Fundação Instituto de Administração

    Skills you'll gain: Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, MarTech, Data-Driven Decision-Making, Predictive Analytics, Digital Marketing, Machine Learning, Innovation, Trend Analysis, Brand Management, Deep Learning, Artificial Intelligence, Artificial Neural Networks

  • Status: Preview

    Skills you'll gain: Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Visualization (Computer Graphics), Applied Machine Learning, Network Architecture, Algorithms

  • Status: Preview

    Skills you'll gain: Tensorflow, Image Analysis, Computer Vision, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Supervised Learning, Data Processing

  • Skills you'll gain: MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Google Cloud Platform, Forecasting, Feature Engineering, Data Transformation, Predictive Modeling, Applied Machine Learning, Data Pipelines, Deep Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, OpenAI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, AI Personalization, Deep Learning, Feature Engineering, Open Source Technology, Data Processing, Application Deployment, Natural Language Processing, Machine Learning, Data Cleansing, Data Visualization, Database Systems

  • Status: New
    Status: Preview

    Skills you'll gain: Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning

  • 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: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI, Generative Model Architectures, Multimodal Prompts, Generative AI, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Cost Management, Deep Learning, Application Deployment, Artificial Intelligence, Case Studies, Reinforcement Learning, Machine Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Prompt Engineering, Image Quality, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning

  • Status: Preview

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Network Model, Network Architecture, Algorithms

  • Status: Preview

    Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Deep Learning, Artificial Neural Networks, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Scalability