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.
86credentials
6online degrees
379courses

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
Earn a university-issued career credential in a flexible, interactive format.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Explore the Deep Learning Course Catalog

  • 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 Model Architectures, Deep Learning, Keras (Neural Network Library), Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow

  • 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

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

  • Status: Preview

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

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

  • Status: New
    Status: Preview

    Skills you'll gain: Data Mining, Text Mining, Time Series Analysis and Forecasting, Artificial Neural Networks, Statistical Analysis, Supervised Learning, Predictive Modeling, Deep Learning, Big Data, Data Science, Feature Engineering, Classification And Regression Tree (CART), Unsupervised Learning, Regression Analysis, Machine Learning, Algorithms

  • Status: Preview

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

  • Status: Preview

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

  • 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: New

    Skills you'll gain: Generative AI, Responsible AI, Google Cloud Platform, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Ethics, Large Language Modeling, Deep Learning, Data-Driven Decision-Making, Machine Learning