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.
85credentials
6online degrees
375courses

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Explore the Deep Learning Course Catalog

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

  • Status: Preview

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

  • Status: New
    Status: Preview

    University of the Arts London

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, OpenAI, Writing and Editing, Artificial Intelligence, Machine Learning Methods, Responsible AI, Natural Language Processing, Writing, Artificial Neural Networks, Data Ethics, Deep Learning

  • Status: Preview

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

  • 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, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

  • Status: Preview

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

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Keras (Neural Network Library), Tensorflow, Large Language Modeling, Deep Learning, Applied Machine Learning, Machine Learning

  • Status: Preview

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

  • Status: Preview

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Artificial Neural Networks, Deep Learning

  • Status: Preview

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

  • Status: Preview

    Skills you'll gain: Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Natural Language Processing, Text Mining

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Deep Learning, Artificial Neural Networks, Unsupervised Learning