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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

    • A

      Arizona State University

      Resilience for Everyone

      Skills you'll gain: Empathy, Positivity, Growth Mindedness, Optimism, Stress Management, Resilience, Compassion, Goal Setting, Overcoming Obstacles, Personal Development, Emotional Intelligence, Empowerment, Social Skills, Time Management, Persistence, Adaptability, Self-Awareness, Independent Thinking, Lifelong Learning, Organizational Skills

      4.5
      Rating, 4.5 out of 5 stars
      ·
      90 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      API Security on Google Cloud's Apigee API Platform

      Skills you'll gain: OAuth, Cloud API, Application Programming Interface (API), Restful API, Security Controls, Application Security, Network Security, Data Security, JSON, Identity and Access Management, Threat Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      834 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The University of Sydney

      Blockchain Scalability and its Foundations in Distributed Systems

      Skills you'll gain: Blockchain, Distributed Computing, Security Engineering, Network Security, Scalability, Cryptography, Data Integrity, Transaction Processing, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidad de Palermo

      Liderazgo y Desarrollo Personal

      Skills you'll gain: Innovation, Emotional Intelligence, Digital Transformation, Diversity and Inclusion, Business Leadership, Business Transformation, Diversity Awareness, Leadership, Team Leadership, Professional Development, Leadership and Management, Cultural Diversity, Constructive Feedback, Creativity, Ethical Standards And Conduct, Collaboration, Organizational Change, Communication, Adaptability, Telecommuting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      320 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Columbia University

      First Principles of Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Dimensionality Reduction, 3D Modeling, Photography, Artificial Neural Networks, Virtual Reality, Medical Imaging, Visualization (Computer Graphics), Color Theory, Unsupervised Learning, Deep Learning, Graph Theory, Automation Engineering, Mathematical Modeling, Machine Learning Algorithms, Estimation, Electronic Components, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      212 reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      MathWorks

      Computer Vision for Engineering and Science

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Data Mapping, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Feature Engineering, Medical Imaging, Machine Learning Algorithms, Data Validation, Geometric Dimensioning And Tolerancing, Performance Testing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      85 reviews

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google

      Google IT Support

      Skills you'll gain: Package and Software Management, IT Infrastructure, Network Security, Network Troubleshooting, Systems Administration, OS Process Management, Computer Networking, Desktop Support, Computer Security Awareness Training, Security Awareness, Application Security, TCP/IP, Remote Access Systems, Lightweight Directory Access Protocols, Network Administration, Technical Support, Active Directory, Computer Hardware, Information Technology, Hardware Troubleshooting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      346 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Securing Digital Democracy

      Skills you'll gain: Cyber Security Policies, Security Engineering, Information Systems Security, Computer Security Awareness Training, Security Awareness, Vulnerability, Policy Analysis, Political Sciences, Public Policies, Public Safety and National Security, Safety and Security, Human Factors, Human Computer Interaction, Usability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      169 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Cybersecurity Threat Vectors and Mitigation

      Skills you'll gain: Encryption, Cybersecurity, Cyber Attacks, Threat Management, Authentications, Security Strategy, Threat Detection, Network Security, Authorization (Computing), Cryptography, Data Security, Active Directory, Identity and Access Management, Firewall, Multi-Factor Authentication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      282 reviews

      Beginner · Course · 1 - 3 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • I

      Infosec

      Cyber Incident Response

      Skills you'll gain: Incident Response, Computer Security Incident Management, Endpoint Detection and Response, Threat Management, Cyber Operations, Cybersecurity, Cyber Threat Hunting, Security Management, Intrusion Detection and Prevention, Threat Detection, Cyber Attacks, Cyber Security Assessment, Event Monitoring, Network Security, Network Monitoring, Data Security, Business Continuity, Network Analysis, Disaster Recovery, Malware Protection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      248 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Packt

      Recommender Systems Complete Course Beginner to Advanced

      Skills you'll gain: Time Series Analysis and Forecasting, Natural Language Processing, Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Predictive Analytics, Deep Learning, Machine Learning, NumPy, Pandas (Python Package)

      Intermediate · Course · 1 - 4 Weeks

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

    • Resilience for Everyone: Arizona State University
    • API Security on Google Cloud's Apigee API Platform: Google Cloud
    • Blockchain Scalability and its Foundations in Distributed Systems: The University of Sydney
    • Liderazgo y Desarrollo Personal: Universidad de Palermo
    • First Principles of Computer Vision: Columbia University
    • Computer Vision for Engineering and Science: MathWorks
    • Google IT Support: Google
    • Securing Digital Democracy: University of Michigan
    • Cybersecurity Threat Vectors and Mitigation: Microsoft
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)

    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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