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.
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Explore the Deep Learning Course Catalog

  • Status: Preview

    Google Cloud

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Generative Model Architectures, LLM Application, Deep Learning

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview

    IIT Roorkee

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Processing, Pandas (Python Package), Big Data, Data Cleansing, Data Science, Data Visualization, Python Programming, Data Manipulation, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 3 Months

  • Status: Preview

    Google Cloud

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

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview

    DeepLearning.AI

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    University of Colorado Boulder

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: Preview

    Google Cloud

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    Google Cloud

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

    Advanced · Course · 1 - 4 Weeks

  • 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, Data Ethics, Artificial Neural Networks, Deep Learning

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

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

    Intermediate · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    Northeastern University

    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

    Intermediate · Course · 1 - 3 Months

  • Status: Preview

    Google Cloud

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

    Advanced · Course · 1 - 4 Weeks