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    • Deep Learning

    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
      S

      Shanghai Jiao Tong University

      Training and Practicing in English Public Speaking

      Skills you'll gain: Public Speaking, Active Listening, English Language, Verbal Communication Skills, Communication, Critical Thinking, Creative Thinking, Stress Management, Adaptability, Self-Awareness

      4.6
      Rating, 4.6 out of 5 stars
      ·
      281 reviews

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      Parallel Programming in Java

      Skills you'll gain: Java Programming, Java, Distributed Computing, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Functional Design, Scalability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Irvine

      IELTS Listening and Speaking Sections Skills Mastery

      Skills you'll gain: Time Management, Oral Comprehension, Active Listening, Language Competency, Public Speaking, Verbal Communication Skills, Learning Strategies, English Language, Vocabulary, Composure, Communication, Grammar, Detail Oriented, Adaptability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      597 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      Learning Chinese : Start From Scratch (零到一學中文)

      Skills you'll gain: Language Learning, Vocabulary, Grammar, Language Competency, Oral Comprehension

      4.5
      Rating, 4.5 out of 5 stars
      ·
      543 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Linear Regression with Python

      Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      428 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      V

      Vanderbilt University

      Agentic AI and AI Agents: A Primer for Leaders

      Skills you'll gain: Generative AI Agents, Workflow Management, Agentic systems, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Generative AI, Automation, Business Transformation, Technology Strategies, Business Strategy, Strategic Decision-Making, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      221 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Bayesian Statistics, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • M

      Macquarie University

      Online Learning Design for Educators

      Skills you'll gain: Video Production, Infographics, Course Development, Multimedia, Discussion Facilitation, Content Creation, Constructive Feedback, Instructional Design, Education Software and Technology, Design Thinking, Learning Management Systems, Design, Graphic and Visual Design, Storytelling, Community Development, Emerging Technologies, Virtual Environment, Collaboration, System Configuration, Safety and Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      382 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      Y

      Yale University

      Introduction to Medical Software

      Skills you'll gain: Clinical Trials, Software Development Life Cycle, Software Quality Assurance, Systems Development, Usability, Software Development, Medical Privacy, Human Computer Interaction, Verification And Validation, Risk Management, Medical Management, User Interface (UI), Health Care Procedure and Regulation, Software Design, Healthcare Industry Knowledge, Regulatory Compliance, Health Technology, Entrepreneurship, Artificial Intelligence and Machine Learning (AI/ML), Cybersecurity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      256 reviews

      Intermediate · Course · 3 - 6 Months

    • I

      IBM

      Introduction to Technical Support

      Skills you'll gain: IT Service Management, Technical Support, Desktop Support, Service Level, Help Desk Support, System Support, End User Training and Support, Technical Services, Remote Access Systems, Issue Tracking, Technical Communication, Technical Documentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Houston

      The Bilingual Brain

      Skills you'll gain: Language Competency, Language Learning, Human Learning, Non-Verbal Communication, Neurology, Human Development, Psychology, Child Development, Science and Research, Scientific Methods, Experimentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      701 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      M

      Meta

      What is the Metaverse?

      Skills you'll gain: Augmented and Virtual Reality (AR/VR), Augmented Reality, Diversity and Inclusion, Virtual Reality, Blockchain, Emerging Technologies, Virtual Environment, Virtual Teams, Digital Assets, E-Commerce, Collaborative Software, Data Ethics, Content Creation, Technology Roadmaps, Infrastructure Architecture, Business Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    Deep Learning learners also search

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    1…646566…425

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

    • Training and Practicing in English Public Speaking: Shanghai Jiao Tong University
    • Parallel Programming in Java: Rice University
    • IELTS Listening and Speaking Sections Skills Mastery: University of California, Irvine
    • Learning Chinese : Start From Scratch (零到一學中文): National Taiwan University
    • Linear Regression with Python: Coursera Project Network
    • Agentic AI and AI Agents: A Primer for Leaders: Vanderbilt University
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Online Learning Design for Educators: Macquarie University
    • Introduction to Medical Software: Yale University
    • Introduction to Technical Support : IBM

    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.‎

    A familiarity with the capabilities and development process for deep learning applications can be an asset in a growing number of careers. For example, the use of deep learning is being explored in healthcare for automatic reading of radiology images, as well as searching for patterns in genes and pharmaceutical interactions that can aid in the discovery of new types of medicines. In many fields, even a basic understanding of deep learning can help professionals identify new potential applications of this powerful technology.

    Those with a deeper expertise in deep learning may become computer research scientists in this field, responsible for inventing new algorithms and finding new applications for these techniques. Given the wide range of uses for deep learning, computer scientists in this field are in high demand for jobs at private companies as well as government agencies and research universities. According to the Bureau of Labor Statistics, computer research scientists earned a median annual salary of $122,840 as of 2019, and these jobs are expected to grow much faster than average.‎

    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.‎

    Deep learning may be right for you if you want to break into AI. The specialization may benefit you if you are a machine learning researcher or practitioner who is seeking to learn the next generation of machine learning, and you want to develop practical skills in the popular deep learning framework TensorFlow. Deep learning is one of the most highly sought-after skills in tech, and mastering it may lead you to many opportunities in the field of AI. It may also benefit you if you want to learn how to build neural networks and how to lead successful machine learning projects, and if you have a passion for learning about convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and how to master concepts in Python and TensorFlow.‎

    Online Deep Learning courses offer a convenient and flexible way to enhance your knowledge or learn new Deep Learning skills. Choose from a wide range of Deep Learning courses offered by top universities and industry leaders tailored to various skill levels.‎

    Yes, Coursera offers a variety of free courses across many topics, including deep learning. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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