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    • Neural Networks

    Neural Networks Courses Online

    Study neural networks for deep learning applications. Learn about network architectures, training algorithms, and model evaluation.

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    Explore the Neural Networks Course Catalog

    • K

      Kennesaw State University

      Cybersecurity and Its Ten Domains

      Skills you'll gain: Cybersecurity, IT Security Architecture, Network Security, Disaster Recovery, Application Security, Cyber Operations, Cryptography, Cyber Risk, Encryption, Authorization (Computing), Secure Coding, Systems Development Life Cycle, Security Controls, Cyber Governance, Cyber Security Policies, Infrastructure Security, Security Awareness, Safety and Security, Identity and Access Management, Incident Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 3 Months

    • L

      LearnKartS

      Certified Ethical Hacking (v12)

      Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Cloud Security, Penetration Testing, Network Security, Malware Protection, Cybersecurity, Threat Modeling, Cloud Computing, Mobile Security, Application Security, Cyber Attacks, Cyber Security Assessment, Security Testing, Threat Detection, Information Systems Security, Intrusion Detection and Prevention, Virtualization, Cyber Threat Intelligence, Firewall, Vulnerability Assessments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      184 reviews

      Intermediate · Specialization · 1 - 3 Months

    • R

      Rutgers the State University of New Jersey

      Influencer Marketing Strategy

      Skills you'll gain: Social Media Campaigns, Social Media Strategy, Content Marketing, Social Media, Marketing Effectiveness, Digital Media Strategy, Marketing Strategies, Campaign Management, Return On Investment, Key Performance Indicators (KPIs), Drive Engagement, Marketing Budgets, Brand Awareness, Influencing, Customer Engagement, Marketing Analytics, Content Creation, Presentations, Target Audience

      4.3
      Rating, 4.3 out of 5 stars
      ·
      188 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Chicago

      Internet Giants: The Law and Economics of Media Platforms

      Skills you'll gain: Intellectual Property, Law, Regulation, and Compliance, Information Privacy, Media and Communications, Personally Identifiable Information, Digital Media Strategy, Technology Strategies, Regulation and Legal Compliance, Network Protocols, Telecommunications, Market Dynamics, Case Law, Lawsuits, Market Share, Economics, Legal Proceedings, Apple iOS, Technical Standard, Competitive Analysis

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

      Mixed · Course · 1 - 3 Months

    • G

      Google - Spectrum Sharing

      Become a CBRS Certified Professional Installer by Google

      Skills you'll gain: Wireless Networks, Technical Communication, Software Installation, Key Management, Network Infrastructure, System Implementation, System Configuration, Telecommunications, Record Keeping, Data Entry

      4.5
      Rating, 4.5 out of 5 stars
      ·
      212 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      K

      Karlsruhe Institute of Technology

      Machine Translation

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Language Interpretation, Translation, and Studies, Statistical Modeling, Vocabulary, Analysis, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      175 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Bitcoin and Cryptocurrency Technologies

      Skills you'll gain: Blockchain, Cryptography, Encryption, Payment Systems, FinTech, Application Security, Digital Assets, Network Protocols, Data Mining, Transaction Processing, Data Storage, Distributed Computing, Emerging Technologies, Scripting, Public Affairs, Market Dynamics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Introduction to Information Technology and AWS Cloud

      Skills you'll gain: Amazon Web Services, Web Applications, Cloud Services, Amazon Elastic Compute Cloud, Information Technology, Cloud Computing, Public Cloud, IT Infrastructure, Computer Systems, Amazon S3, Web Development, General Networking, Web Servers, Operating Systems, Servers, Virtualization, Data Centers, Hypertext Markup Language (HTML), Computer Hardware

      4.8
      Rating, 4.8 out of 5 stars
      ·
      412 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Mindfulness and Well-being: Foundations

      Skills you'll gain: Mindfulness, Self-Awareness, Mental Health, Mental Concentration, Stress Management, Personal Development, Resilience, Cognitive flexibility, Persistence, Overcoming Obstacles, Emotional Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      822 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Case Western Reserve University

      Inspiring Leadership through Emotional Intelligence

      Skills you'll gain: Emotional Intelligence, Compassion, Coaching, Organizational Change, Personal Development, Leadership, Resilience, Empathy, Self-Awareness, Stress Management, Positivity, Change Management, Mindfulness, Relationship Building

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Advanced Deployment Scenarios with TensorFlow

      Skills you'll gain: Tensorflow, Application Deployment, MLOps (Machine Learning Operations), Deep Learning, Applied Machine Learning, Information Privacy, Web Servers, Artificial Neural Networks, Data Security, Data Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      510 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Kennesaw State University

      Cybersecurity and the Internet of Things

      Skills you'll gain: Internet Of Things, Cybersecurity, Cyber Security Policies, Mobile Security, Security Awareness, Wireless Networks, Information Privacy, Data Security, Emerging Technologies, Enterprise Security, Risk Management Framework

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular neural networks courses

    • Cybersecurity and Its Ten Domains: Kennesaw State University
    • Certified Ethical Hacking (v12): LearnKartS
    • Influencer Marketing Strategy: Rutgers the State University of New Jersey
    • Internet Giants: The Law and Economics of Media Platforms: The University of Chicago
    • Become a CBRS Certified Professional Installer by Google: Google - Spectrum Sharing
    • Machine Translation: Karlsruhe Institute of Technology
    • Bitcoin and Cryptocurrency Technologies: Princeton University
    • Introduction to Information Technology and AWS Cloud: Amazon Web Services
    • Mindfulness and Well-being: Foundations: Rice University
    • Inspiring Leadership through Emotional Intelligence: Case Western Reserve 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 Neural Networks

    Neural networks, also known as neural nets or artificial neural networks (ANN), are machine learning algorithms organized in networks that mimic the functioning of neurons in the human brain. Using this biological neuron model, these systems are capable of unsupervised learning from massive datasets.

    This is an important enabler for artificial intelligence (AI) applications, which are used across a growing range of tasks including image recognition, natural language processing (NLP), and medical diagnosis. The related field of deep learning also relies on neural networks, typically using a convolutional neural network (CNN) architecture that connects multiple layers of neural networks in order to enable more sophisticated applications.

    For example, using deep learning, a facial recognition system can be created without specifying features such as eye and hair color; instead, the program can simply be fed thousands of images of faces and it will learn what to look for to identify different individuals over time, in much the same way that humans learn. Regardless of the end-use application, neural networks are typically created in TensorFlow and/or with Python programming skills.‎

    Neural networks are a fundamental concept to understand for jobs in artificial intelligence (AI) and deep learning. And, as the number of industries seeking to leverage these approaches continues to grow, so do career opportunities for professionals with expertise in neural networks. For instance, these skills could lead to jobs in healthcare creating tools to automate X-ray scans or assist in drug discovery, or a job in the automotive industry developing autonomous vehicles.

    Professionals dedicating their careers to cutting-edge work in neural networks typically pursue a master’s degree or even a doctorate in computer science. This high-level expertise in neural networks and artificial intelligence are in high demand; according to the Bureau of Labor Statistics, computer research scientists earn a median annual salary of $122,840 per year, and these jobs are projected to grow much faster than average over the next decade.‎

    Absolutely - in fact, Coursera is one of the best places to learn about neural networks, online or otherwise. You can take courses and Specializations spanning multiple courses in topics like neural networks, artificial intelligence, and deep learning from pioneers in the field - including deeplearning.ai and Stanford University. Coursera has also partnered with industry leaders such as IBM, Google Cloud, and Amazon Web Services to offer courses that can lead to professional certificates in applied AI and other areas. You can even learn about neural networks with hands-on Guided Projects, a way to learn on Coursera by completing step-by-step tutorials led by experienced instructors.‎

    Before starting to learn neural networks, it's important to have experience creating and using algorithms since neural networks run on complicated algorithms. You should also have fundamental math skills at least, but you'll be at a better advantage if you have knowledge of linear algebra, calculus, statistics, and probability. Being proficient at problem-solving is also important before starting to learn neural networks. An understanding of how the human brain processes information is helpful since artificial neural networks are patterned after how the brain works. You'll also benefit from having experience using any programming language, in particular Java, R, Python, or C++. This includes experience using these languages' libraries, which you'll access to apply the algorithms used in neural networks.‎

    People who are best suited for roles in neural networks are innovative, interested in technology, and have the ability to identify patterns in large amounts of data and draw conclusions from them. People who have a desire to make life and work easier for human beings through artificial technology are well suited for roles in neural networks too. Also, people who have good programming skills and data engineering skills like SQL, data analysis, ETL, and data visualization are likely well suited for roles in neural networks.‎

    If you are interested in the field of artificial intelligence, learning about neural networks is right for you. If your current or future position involves data analysis, pattern recognition, optimization, forecasting, or decision-making, you might also benefit from learning neural networks. Neural networks are also used in image recognition software, speech synthesis, self-driving vehicles, navigation systems, industrial robots, and algorithms for protecting information systems, so if you're interested in these technologies, learning neural networks may be helpful to you.‎

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

    When looking to enhance your workforce's skills in Neural Networks, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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