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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

    • P

      Peking University

      Chinese for HSK 2

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      902 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Irvine

      TOEFL Reading and Listening Sections Skills Mastery

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      464 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Pohang University of Science and Technology(POSTECH)

      Introduction and Programming with IoT Boards

      Skills you'll gain: Internet Of Things, Wireless Networks, General Networking, Emerging Technologies, Electronic Hardware, Embedded Systems, Information Technology Architecture, Infrastructure Architecture, Software Architecture, Computer Hardware, Computer Programming Tools, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • E

      Erasmus University Rotterdam

      Introduction to Economic Theories

      Skills you'll gain: Consumer Behaviour, Market Dynamics, Financial Market, Financial Systems, Economics, Economic Development, Market Analysis, Tax, Economics, Policy, and Social Studies, Public Policies, Environmental Issue, Social Sciences, Socioeconomics, Supply And Demand, Behavioral Economics, Decision Making

      4.5
      Rating, 4.5 out of 5 stars
      ·
      355 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Tokyo

      Studying at Japanese Universities

      Skills you'll gain: Higher Education, Cultural Sensitivity, Intercultural Competence, Cultural Diversity, Language Learning, Student Support and Services, Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      437 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Python Project for Data Engineering

      Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Data Pipelines, Data Integration, Python Programming, Unit Testing, Style Guides

      4.6
      Rating, 4.6 out of 5 stars
      ·
      760 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Fundamentals of AI Agents Using RAG and LangChain

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      90 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Pennsylvania

      Exploring Renewable Energy Schemes

      Skills you'll gain: Electric Power Systems, Electrical Power, Electrical Systems, Energy and Utilities, Electrical Safety, Environmental Regulations, Power Electronics, Electrical Equipment, Hydraulics, Basic Electrical Systems, Thermal Management, Equipment Design, Control Systems, Engineering, Semiconductors, Electronic Components, Physics, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      640 reviews

      Beginner · Course · 1 - 3 Months

    • W

      West Virginia University

      Sales Operations/Management

      Skills you'll gain: Sales Management, Sales Territory Management, Recruitment, Training Programs, Sales Training, Sales Strategy, Account Management, Sales, General Sales Practices, Talent Recruitment, Expense Management, Sales Process, Organizational Structure, Inside Sales, Marketing Budgets, Business Ethics, Employee Training, Legal Risk, Operating Expense, Compensation Strategy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      408 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Developing Industrial Internet of Things

      Skills you'll gain: Real-Time Operating Systems, Internet Of Things, Machine Learning Algorithms, Embedded Systems, Engineering Documentation, Product Development, Product Planning, Data Analysis, Debugging, Data Processing, Model Based Systems Engineering, Product Requirements, Electronic Systems, Wireless Networks, File Systems, Infrastructure Security, General Networking, Cybersecurity, Failure Analysis, Simulation and Simulation Software

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      802 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universitat de Barcelona

      Claves para la innovación en la docencia universitaria

      Skills you'll gain: Critical Thinking and Problem Solving, Higher Education, Train The Trainer, Collaboration, Innovation, Instructional Design, Learning Strategies, Digital Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 3 Months

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

    • Chinese for HSK 2: Peking University
    • TOEFL Reading and Listening Sections Skills Mastery: University of California, Irvine
    • Introduction and Programming with IoT Boards: Pohang University of Science and Technology(POSTECH)
    • Introduction to Economic Theories: Erasmus University Rotterdam
    • Studying at Japanese Universities: The University of Tokyo
    • Python Project for Data Engineering: IBM
    • Fundamentals of AI Agents Using RAG and LangChain: IBM
    • Specialized Models: Time Series and Survival Analysis: IBM
    • Exploring Renewable Energy Schemes: University of Pennsylvania
    • Sales Operations/Management: West Virginia University

    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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