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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Results for "Deep Learning"

  • Coursera

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Model Training, Deep Learning, Python Programming

    4.4 stars, 233 reviews, Intermediate, Guided Project, Less Than 2 Hours

  • Imperial College London

    Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing

    4.8 stars, 722 reviews, Intermediate, Specialization, 3 - 6 Months

  • University of Glasgow

    Skills you'll gain: Model Evaluation, Deep Learning, Descriptive Analytics, Data Ethics, Data Preprocessing, ICD Coding (ICD-9/ICD-10), Federated Learning, Autoencoders, Health Informatics, Clinical Data Management, Medical Records, Data Mining, Medical Coding, Decision Intelligence, Electronic Medical Record System, Responsible AI, AI Security, Electronic Medical Record, Clinical Informatics, Machine Learning

    4.4 stars, 36 reviews, Intermediate, Specialization, 3 - 6 Months

  • University of Toronto

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Deep Learning, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Global Positioning Systems, Hardware Architecture, Systems Architecture, Network Routing, Graph Theory, Estimation, Algorithms, Artificial Intelligence, Mathematical Modeling, Applied Mathematics

    4.7 stars, 3.6K reviews, Advanced, Specialization, 3 - 6 Months

  • University of Colorado Boulder

    Skills you'll gain: Large Language Modeling, Model Optimization, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Model Training, Artificial Neural Networks, Transfer Learning, Deep Learning, Embeddings, Fine-tuning

    4.9 stars, 8 reviews, Intermediate, Course, 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

    4.5 stars, 100 reviews, Intermediate, Guided Project, Less Than 2 Hours

  • Coursera

    Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Image Analysis, Convolutional Neural Networks, Computer Vision, Applied Machine Learning, Model Evaluation, Deep Learning, Data Preprocessing

    4.6 stars, 49 reviews, Intermediate, Guided Project, Less Than 2 Hours

  • University of Colorado Boulder

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Tensorflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Model Training, Model Optimization, Applied Machine Learning, Machine Learning, Model Evaluation, Classification Algorithms

    4.6 stars, 90 reviews, Intermediate, Course, 1 - 3 Months

  • Khalifa University

    Skills you'll gain: Generative AI, Computer Vision, PyTorch (Machine Learning Library), Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Fine-tuning, Artificial Neural Networks, Model Training, Applied Machine Learning, Model Evaluation, Deep Learning, Transfer Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Artificial Intelligence

    Intermediate · Course

  • Duke University

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7 stars, 3.8K reviews, Intermediate, Course, 1 - 3 Months

  • Yonsei University

    Skills you'll gain: Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Machine Learning Methods, Recurrent Neural Networks (RNNs), Business Strategy, Business Modeling, Business Strategies, Artificial Intelligence, Machine Learning, Unsupervised Learning

    4.4 stars, 687 reviews, Beginner, Course, 1 - 3 Months

  • University of Glasgow

    Skills you'll gain: Deep Learning, Data Preprocessing, Autoencoders, Machine Learning Methods, Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Medical Records, Model Optimization, Health Informatics, Electocardiography, Electronic Medical Record, Predictive Modeling, Embeddings, Applied Machine Learning, Data Cleansing, Time Series Analysis and Forecasting, Dimensionality Reduction, Model Evaluation

    4 stars, 8 reviews, Intermediate, Course, 1 - 4 Weeks