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
376courses

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Explore the Deep Learning Course Catalog

  • Skills you'll gain: Image Analysis, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Data Processing, Performance Tuning, Regression Analysis

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    Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Artificial Neural Networks, Computer Vision, Artificial Intelligence, Supervised Learning, Deep Learning, Image Analysis, Machine Learning, Performance Tuning

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    Skills you'll gain: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Natural Language Processing

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    Skills you'll gain: Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Performance Tuning

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    Skills you'll gain: Artificial Intelligence, Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Data Ethics, Responsible AI, Natural Language Processing, Data Science

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    Johns Hopkins University

    Skills you'll gain: Generative AI, Fraud detection, Feature Engineering, Cybersecurity, Cyber Security Strategy, Threat Modeling, Deep Learning, Anomaly Detection, Artificial Intelligence, Security Testing, Machine Learning Methods, Reinforcement Learning, Machine Learning

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    Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Regression Analysis, Python Programming

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    Skills you'll gain: Tensorflow, Deep Learning, Data Compilation, Test Data, Statistical Analysis, Artificial Neural Networks, Analysis, Performance Tuning, Machine Learning Algorithms, Machine Learning, Algorithms

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Bayesian Statistics, Applied Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Information Privacy, Case Studies

  • Status: Preview

    Skills you'll gain: Deep Learning, Tensorflow, Artificial Neural Networks, Performance Tuning, Machine Learning Algorithms, Machine Learning, Network Architecture, Algorithms, Verification And Validation

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    Skills you'll gain: Predictive Modeling, Data Cleansing, Time Series Analysis and Forecasting, Database Management, Artificial Neural Networks, SQL, Predictive Analytics, Databases, Keras (Neural Network Library), Deep Learning, Tensorflow, Statistical Modeling, Data Modeling, Data Visualization Software, Forecasting, Pandas (Python Package), Data Science, Supervised Learning, Image Analysis, Computer Vision

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    Skills you'll gain: Unsupervised Learning, Unstructured Data, Marketing Analytics, Text Mining, Deep Learning, Machine Learning, JSON, Data Processing, Natural Language Processing, Machine Learning Algorithms, Exploratory Data Analysis, Python Programming