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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
      C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Planning for Teaching and Learning

      Skills you'll gain: Growth Mindedness, Lesson Planning, Pedagogy, Trustworthiness, Student Engagement, Instructional Strategies, Learning Theory, Curriculum Planning, Adult Learning Principles, Instructional and Curriculum Design, Goal Setting, Relationship Building, Professional Development, Cultural Diversity, Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      289 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      Eindhoven University of Technology

      RF and millimeter-Wave Circuit Design

      Skills you'll gain: Electronics Engineering, Electronics, Telecommunications, Electronic Systems, Electronic Components, Hardware Design, Electrical Engineering, Wireless Networks, Electronic Hardware, Systems Design, Simulation and Simulation Software, Simulations, Laboratory Experience

      4.7
      Rating, 4.7 out of 5 stars
      ·
      230 reviews

      Intermediate · Course · 1 - 3 Months

    • K

      Khalifa University

      Arabic for Beginners

      Skills you'll gain: Oral Comprehension, Language Learning, Language Competency, Culture, Vocabulary, Writing, Cultural Diversity, Grammar, Oral Expression, Literacy, Language Interpretation, Translation, and Studies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Anti-Racism

      Skills you'll gain: Community Outreach, Social Justice, Discussion Facilitation, Diversity Awareness, Advocacy, Diversity Equity and Inclusion Initiatives, Community Development, Diversity Training, Interviewing Skills, Cultural Sensitivity, Interpersonal Communications, Sociology, Intercultural Competence, Cultural Diversity, Multimedia

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Beginner · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Architecting with Google Kubernetes Engine: Workloads

      Skills you'll gain: Kubernetes, Cloud-Native Computing, Google Cloud Platform, Application Deployment, Scalability, Load Balancing, Containerization, YAML, Data Storage, Cloud Security, General Networking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Houston

      American Deaf Culture

      Skills you'll gain: Disabilities, Social Justice, Culture, Diversity Awareness, Sociology, Social Sciences, Cultural Diversity, Special Education, Education and Training, Non-Verbal Communication, Civil Law

      4.5
      Rating, 4.5 out of 5 stars
      ·
      376 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Evaluación educativa

      Skills you'll gain: Peer Review, Program Evaluation, Patient Evaluation, Curriculum Planning, Qualitative Research, Health Assessment, Pedagogy, Psychological Evaluations, Curriculum Development, Education and Training, Simulations, Instructional and Curriculum Design, Survey Creation, Instructional Strategies, Data Analysis Software, Student-Centred Learning, Higher Education, Statistical Analysis, Systems Thinking, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      816 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Achieving Advanced Insights with BigQuery

      Skills you'll gain: SQL, Big Data, Google Cloud Platform, Data Access, Database Architecture and Administration, Performance Tuning, Jupyter, Data Warehousing, Data Security, Data Science, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • N

      Nanjing University

      Chinese Culture and Contemporary China

      Skills you'll gain: Music, Culture, Classical Music, World Music, Social Studies, Cultural Sensitivity, Ancient History, Media and Communications, Art History, Language Learning, Cultural Diversity, Liberal Arts, Social Sciences, Electronic Media, Intercultural Competence, Performing Arts, Anthropology, Sociology, Nutrition and Diet

      4.6
      Rating, 4.6 out of 5 stars
      ·
      519 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Davis

      Big Data, Artificial Intelligence, and Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Research Methodologies, Social Sciences, Machine Learning, Data Mining, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      598 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Introducción a la Minería de Datos

      Skills you'll gain: Exploratory Data Analysis, Data Mining, Data Analysis, Machine Learning Algorithms, Data Manipulation, Databases, Data Science, Machine Learning Methods, Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Algorithms, Performance Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Kinematics: Describing the Motions of Spacecraft

      Skills you'll gain: Mechanics, Linear Algebra, Numerical Analysis, Engineering Calculations, Engineering Analysis, Differential Equations, Physics, Mathematical Modeling, Applied Mathematics, Verification And Validation, Advanced Mathematics, Estimation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      332 reviews

      Advanced · Course · 1 - 4 Weeks

    Deep Learning learners also search

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    1…808182…425

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

    • Foundations of Teaching for Learning: Planning for Teaching and Learning: Commonwealth Education Trust
    • RF and millimeter-Wave Circuit Design: Eindhoven University of Technology
    • Arabic for Beginners: Khalifa University
    • Anti-Racism: University of Colorado Boulder
    • Architecting with Google Kubernetes Engine: Workloads: Google Cloud
    • American Deaf Culture: University of Houston
    • Evaluación educativa: Universidad Nacional Autónoma de México
    • Achieving Advanced Insights with BigQuery: Google Cloud
    • Chinese Culture and Contemporary China : Nanjing University
    • Big Data, Artificial Intelligence, and Ethics: University of California, Davis

    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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