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: Preview

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

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

    Skills you'll gain: Image Analysis, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

    Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Keras (Neural Network Library), Generative Model Architectures, Computer Vision, PyTorch (Machine Learning Library), Tensorflow

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

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

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  • Google Cloud
  • DeepLearning.AI
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