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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
      T

      The University of Edinburgh

      Know Thyself - The Value and Limits of Self-Knowledge: The Examined Life

      Skills you'll gain: Self-Awareness, Emotional Intelligence, Lifelong Learning, Personal Development, Critical Thinking, Psychology, Curiosity, Open Mindset, Empathy, Cultural Diversity, Mindfulness

      4.7
      Rating, 4.7 out of 5 stars
      ·
      771 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Omnichannel Retail Strategy

      Skills you'll gain: Human Capital, Employee Retention, Workforce Development, Employee Training, Talent Management, Digital Transformation, Organizational Strategy, Human Resources, Employee Engagement, Supply Chain Management, E-Commerce, Customer experience strategy (CX), Supply Chain, Brand Strategy, Analytics, Brand Management, Business Analytics, Marketing Strategies, Customer Insights, Brand Loyalty

      4.7
      Rating, 4.7 out of 5 stars
      ·
      385 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Hardware Description Languages for FPGA Design

      Skills you'll gain: System Design and Implementation, Verification And Validation, Computer Engineering, Programming Principles, Development Testing, Simulations, Hardware Architecture, Functional Testing, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      598 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Peking University

      Chinese for HSK 6

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      467 reviews

      Advanced · Course · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Cape Town

      Severe to Profound Intellectual Disability: Circles of Care and Education

      Skills you'll gain: Developmental Disabilities, Disabilities, Working With Children, Caregiving, Training Programs, Teaching, Human Learning, Special Education, Child Development, Activities of Daily Living (ADLs), Community Mental Health Services, Advocacy, Care Coordination, Learning Strategies, Instructional Strategies, Curriculum Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      179 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Machine Learning Capstone

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      133 reviews

      Advanced · Course · 1 - 3 Months

    • I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Text Mining, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      184 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Interfacing with the Raspberry Pi

      Skills you'll gain: Internet Of Things, Application Programming Interface (API), TCP/IP, Electronics, Embedded Systems, Control Systems, USB, Networking Hardware, Electronic Systems, Hardware Design, Digital Communications, Computer Hardware, Computer Networking, Python Programming, Servers

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      The Growth Mindset

      Skills you'll gain: Growth Mindedness, Lifelong Learning, Positivity, Overcoming Obstacles, Professional Development, Organizational Change, Employee Engagement, Constructive Feedback, Adaptability, Resilience, Personal Development, Leadership Development, Self-Awareness, Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      Technion - Israel Institute of Technology

      Nanotechnology and Nanosensors, Part1

      Skills you'll gain: Engineering, Scientific, and Technical Instruments, Semiconductors, Innovation, Chemical and Biomedical Engineering, Emerging Technologies, Chemistry, Electronics, Medical Equipment and Technology, Laboratory Research, Chemical Engineering, Creative Design, Biochemistry

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

      Mixed · Course · 1 - 3 Months

    • É

      École des Ponts ParisTech

      The hidden value – Lean in manufacturing and services

      Skills you'll gain: Lean Manufacturing, Lean Methodologies, Business Transformation, Continuous Improvement Process, Process Improvement, Manufacturing Operations, Service Improvement, Operational Efficiency, Value Engineering, Waste Minimization, Competitive Intelligence, Business Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      816 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Northwestern University

      The Importance of Listening

      Skills you'll gain: Real Time Data, Social Media, Social Media Marketing, Big Data, Marketing Analytics, Crisis Management, Analytics, Content Strategy, Text Mining, Data-Driven Decision-Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Know Thyself - The Value and Limits of Self-Knowledge: The Examined Life: The University of Edinburgh
    • Omnichannel Retail Strategy: University of Pennsylvania
    • Hardware Description Languages for FPGA Design: University of Colorado Boulder
    • Chinese for HSK 6: Peking University
    • Severe to Profound Intellectual Disability: Circles of Care and Education: University of Cape Town
    • Machine Learning Capstone: IBM
    • Generative AI and LLMs: Architecture and Data Preparation: IBM
    • Interfacing with the Raspberry Pi: University of California, Irvine
    • The Growth Mindset: University of California, Davis
    • Nanotechnology and Nanosensors, Part1: Technion - Israel Institute of Technology

    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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