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.
83credentials
6online degrees
366courses

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Explore the Deep Learning Course Catalog

  • Status: Preview

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

  • Status: Preview

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

  • Status: New
    Status: Preview

    Skills you'll gain: Text Mining, Time Series Analysis and Forecasting, Data Mining, Artificial Neural Networks, Trend Analysis, Unsupervised Learning, Regression Analysis, Unstructured Data, Forecasting, Statistical Analysis, Deep Learning, Data Analysis, Big Data, Predictive Modeling, Supervised Learning, Machine Learning, Algorithms

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

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

  • Skills you'll gain: Machine Learning Methods, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Natural Language Processing

  • Status: Preview

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

  • 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: Free Trial

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

  • Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Computer Vision

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

What brings you to Coursera today?

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  • Google Cloud
  • DeepLearning.AI
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  • University of Colorado Boulder
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