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    Deep Learning Courses Online

    Study deep learning for advanced machine learning. Learn about neural networks, backpropagation, and deep learning frameworks.

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    Explore the Deep Learning Course Catalog

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Image Segmentation

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      214 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Generative Adversarial Network

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      91 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Sentiment Analysis with Deep Learning using BERT

      Skills you'll gain: Text Mining, PyTorch (Machine Learning Library), Data Processing, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      397 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      M

      Microsoft

      Build a computer vision app with Azure Cognitive Services

      Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Solutions, Cloud Computing, Software Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      318 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Preparation for Job Interviews

      Skills you'll gain: Interviewing Skills, Recruitment, Talent Recruitment, Job Analysis, Oral Expression, Communication, Business Writing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      843 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Siamese Network

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47 reviews

      Advanced · Guided Project · Less Than 2 Hours

    What brings you to Coursera today?

    • Status: Free
      Free
      C

      Coursera Project Network

      Tweet Emotion Recognition with TensorFlow

      Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Machine Learning, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      165 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Fake News Detection with Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Matplotlib, Data Cleansing, Data Import/Export, Data Analysis, Natural Language Processing, Data Processing, Data Manipulation, Python Programming, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      260 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Machine Learning Pipelines with Azure ML Studio

      Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Supervised Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Data Cleansing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      808 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Semantic Segmentation with Amazon Sagemaker

      Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Applied Machine Learning, Application Deployment, Machine Learning Algorithms, Data Processing, Computer Vision, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Object Localization

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      46 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Detecting COVID-19 with Chest X-Ray using PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Medical Imaging, Computer Vision, Machine Learning, X-Ray Computed Tomography

      4.5
      Rating, 4.5 out of 5 stars
      ·
      339 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Deep Learning learners also search

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    In summary, here are 10 of our most popular deep learning courses

    • Deep Learning with PyTorch : Image Segmentation : Coursera Project Network
    • Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network
    • Sentiment Analysis with Deep Learning using BERT: Coursera Project Network
    • Build a computer vision app with Azure Cognitive Services: Microsoft
    • Preparation for Job Interviews: Coursera Project Network
    • Deep Learning with PyTorch : Siamese Network: Coursera Project Network
    • Tweet Emotion Recognition with TensorFlow: Coursera Project Network
    • Fake News Detection with Machine Learning: Coursera Project Network
    • Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
    • Semantic Segmentation with Amazon Sagemaker: Coursera Project Network

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Deep Learning

    Deep learning is a powerful application of machine learning (ML) algorithms modeled after biological systems of information processing called artificial neural networks (ANN). Machine learning is an artificial intelligence (AI) technique that allows computers to automatically learn from data without explicit programming, and deep learning harnesses multiple layers of interconnected neural networks to generate more sophisticated insights.

    While this field of computer science is quite new, it is already being used in a growing range of important applications. Deep learning excels at automated image recognition, also known as computer vision, which is used for creating accurate facial recognition systems and safely driving autonomous vehicles. This approach is also used for speech recognition and natural language processing (NLP) applications, which allow for computers to interact with human users via voice commands.

    Machine learning algorithms such as logistic regression are key to creating deep learning applications, along with commonly used programming languages such as Tensorflow and Python. These programming languages are generally preferred for teaching and learning in this field due to their flexibility and relative accessibility - an important priority given the relevance of deep learning to a wide range of professionals without a computer science background.‎

    Yes. You can start learning deep learning on Coursera for free in two ways:

    • Preview the first module of many deep learning courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

    If you want to keep learning, earn a certificate in deep learning, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

    Certainly - in fact, Coursera is one of the best places to learn about deep learning. Through partnerships with deeplearning.ai and Stanford University, Coursera offers courses as well as Specializations taught by some of the pioneering thinkers and educators in this field. You can also learn via courses and Specializations from industry leaders such as Google Cloud and Intel, or get a professional certificate from IBM. Guided Projects also offer an opportunity to build skills in deep learning through hands-on tutorials led by experienced instructors, allowing you to learn with confidence.‎

    The skills or experience you may need to have before studying deep learning, and which can help you better understand an advanced concept such as deep learning, can include sign language reading, music generation, and natural language processing (NLP), in addition to many others. If you have knowledge of Python 3 and understand the basic concepts of general machine-learning algorithms and deep learning, you may have the necessary skills to learn this specialization. You may also want to know about probability and statistics to study deep learning concepts. Basic math, such as algebra and calculus, is also an important prerequisite to deep learning because it relates to machine learning and data science. Also, if you have worked in the tech or artificial intelligence (AI) fields, you may have the necessary experience to study deep learning.‎

    The type of person who is best suited to study deep learning is someone comfortable working with statistics, programming, advanced calculus, advanced algebra, and engineering. Deep learning benefits someone passionate about working in the AI fields which can create types of deep learning networks that help machines perform human functions. A person best suited to learn about deep learning has a vested interest in understanding how the intelligence is built to run everything from driverless cars, mobile devices, stock trading systems, and robotic surgery equipment, for example. Deep learning benefits someone with a goal of working with systems such as computer vision, speech recognition, NLP, audio recognition bioinformatics systems, and medical image analysis.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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