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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

      Coursera Project Network

      Create your e-commerce store with Shopify

      Skills you'll gain: Order Processing, Order Management, Inventory Management System, Inventory Control, Customer Relationship Management, E-Commerce, Web Analytics, Retail Management, Product Management, Content Management Systems, Dashboard

      4.5
      Rating, 4.5 out of 5 stars
      ·
      553 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Sustainable Food Production Through Livestock Health Management

      Skills you'll gain: Infectious Diseases, Epidemiology, Nutrition and Diet, Food Safety and Sanitation, Food Services, Public Health, Biology, Microbiology, Caregiving, Environment, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      611 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      ChatGPT for Beginners: Save time with Microsoft Excel

      Skills you'll gain: Microsoft Excel, ChatGPT, Excel Formulas, Text Mining, Data Cleansing, Data Manipulation, Data Analysis Software, Unstructured Data, Generative AI, Prompt Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Chino básico: Cómo dar una primera impresión positiva

      Skills you'll gain: Language Learning, Cultural Sensitivity, Vocabulary, Oral Comprehension, Oral Expression, Greeting Customers, Communication

      4.5
      Rating, 4.5 out of 5 stars
      ·
      493 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Florida

      Personality Types at Work

      Skills you'll gain: Emotional Intelligence, Industrial and Organizational Psychology, Professional Development, Performance Review, Team Building, Employee Performance Management, Personal Development, Teamwork, Self-Awareness, People Management, Interpersonal Communications, Interviewing Skills, Writing, Leadership, Communication

      4.5
      Rating, 4.5 out of 5 stars
      ·
      756 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      CertNexus Certified Artificial Intelligence Practitioner

      Skills you'll gain: Data Ethics, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Linear Algebra, Applied Machine Learning, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Productivity, Registration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      271 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Getting Started in Google Analytics

      Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.5K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of London

      Refugees in the 21st Century

      Skills you'll gain: Immigration Law, International Relations, World History, Social Justice, Crisis Intervention, Cultural Diversity, Cultural Sensitivity, Conflict Management, Demography, Policy Analysis, Social Sciences, Political Sciences, Student Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      561 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

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C for Everyone: Structured Programming

      Skills you'll gain: C (Programming Language), Debugging, C++ (Programming Language), Data Structures, Computer Programming, Command-Line Interface, Algorithms, Integrated Development Environments, Program Development, File Systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      770 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Generative AI Essentials: Overview and Impact

      Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Natural Language Processing, Artificial Intelligence, Data Ethics, Law, Regulation, and Compliance, Technical Communication, Social Sciences, Economics, Intellectual Property

      4.6
      Rating, 4.6 out of 5 stars
      ·
      217 reviews

      Beginner · Course · 1 - 4 Weeks

    Deep Learning learners also search

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    1…99100101…441

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

    • Create your e-commerce store with Shopify: Coursera Project Network
    • Sustainable Food Production Through Livestock Health Management: University of Illinois Urbana-Champaign
    • ChatGPT for Beginners: Save time with Microsoft Excel: Coursera Project Network
    • Chino básico: Cómo dar una primera impresión positiva: Arizona State University
    • Personality Types at Work: University of Florida
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • CertNexus Certified Artificial Intelligence Practitioner: CertNexus
    • Getting Started in Google Analytics: Coursera Project Network
    • Refugees in the 21st Century: University of London
    • Chinese Culture and Contemporary China : Nanjing 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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