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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

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Cybersecurity and the X-Factor

      Skills you'll gain: Cyber Threat Intelligence, Threat Detection, Human Factors (Security), Threat Management, Security Awareness, Cybersecurity, Cyber Risk, Compliance Training, Employee Training, Behavior Management, Insurance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      259 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Networking and Security in iOS Applications

      Skills you'll gain: Core Data (Software), Apple iOS, iOS Development, JSON, Objective-C (Programming Language), OAuth, Authentications, Mobile Development, Single Sign-On (SSO), Secure Coding, Data Store, Cryptographic Protocols, Application Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      254 reviews

      Mixed · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Planning for a Google Workspace Deployment

      Skills you'll gain: Change Management, Data Migration, Organizational Change, Google Workspace, Application Deployment, User Provisioning, Cloud Computing, Active Directory, Interoperability, Email Security, End User Training and Support

      4.8
      Rating, 4.8 out of 5 stars
      ·
      396 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud IAM and Networking for Azure Professionals

      Skills you'll gain: Identity and Access Management, Google Cloud Platform, Microsoft Azure, Azure Active Directory, Cloud Computing Architecture, Cloud Management, Virtual Private Networks (VPN), User Accounts, Virtual Machines, Network Security, Firewall, Network Routing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      245 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Facial Expression Recognition with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Feature Engineering, Data Validation

      3.9
      Rating, 3.9 out of 5 stars
      ·
      55 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • I

      ISC2

      Cryptography

      Skills you'll gain: Cryptography, Key Management, Public Key Infrastructure, Encryption, Data Security, Cybersecurity, Authentications, Email Security, Data Integrity, IT Security Architecture, Virtual Private Networks (VPN), Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      80 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Operating System Foundations

      Skills you'll gain: Penetration Testing, Linux Commands, Command-Line Interface, Cyber Security Assessment, Linux, Cybersecurity, Operating Systems, Vulnerability Assessments, Windows PowerShell, Microsoft Windows, Computer Systems, Mac OS

      4.7
      Rating, 4.7 out of 5 stars
      ·
      83 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Infrastructure for Azure Professionals

      Skills you'll gain: Identity and Access Management, Kubernetes, Google Cloud Platform, Virtual Machines, Cloud Applications, Microsoft Azure, Load Balancing, Cloud-Native Computing, Cloud Computing Architecture, Azure Active Directory, Virtualization and Virtual Machines, Cloud Storage, Public Cloud, Multi-Cloud, Cloud Infrastructure, Platform As A Service (PaaS), Cloud Management, Virtual Private Networks (VPN), Data Lakes, Containerization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      247 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Razonamiento artificial

      Skills you'll gain: Bayesian Network, Computational Logic, Markov Model, Theoretical Computer Science, Logical Reasoning, Deductive Reasoning, Artificial Intelligence, Python Programming, Probability, Game Theory, Mathematical Modeling, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Giving 2.0: The MOOC

      Skills you'll gain: Philanthropy, Fundraising, Resource Utilization, Community Development, Program Evaluation, Lifelong Learning, Strategic Decision-Making, Professional Networking, Social Media, Planning, Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      196 reviews

      Mixed · Course · 1 - 3 Months

    • M

      MathWorks

      Medical Image Processing

      Skills you'll gain: Medical Imaging, Magnetic Resonance Imaging, Image Analysis, X-Ray Computed Tomography, Data Import/Export, Radiography, Matlab, Visualization (Computer Graphics), Computer Vision, Deep Learning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Managing Stress and Time

      Skills you'll gain: Stress Management, Time Management, Organizational Skills, Personal Development, Emotional Intelligence, Self-Awareness, Prioritization, Productivity

      4.4
      Rating, 4.4 out of 5 stars
      ·
      46 reviews

      Mixed · Course · 1 - 3 Months

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

    • Cybersecurity and the X-Factor: Kennesaw State University
    • Networking and Security in iOS Applications: University of California, Irvine
    • Planning for a Google Workspace Deployment: Google Cloud
    • Google Cloud IAM and Networking for Azure Professionals: Google Cloud
    • Facial Expression Recognition with PyTorch : Coursera Project Network
    • Cryptography : ISC2
    • Operating System Foundations: Infosec
    • Google Cloud Infrastructure for Azure Professionals: Google Cloud
    • Razonamiento artificial: Universidad Nacional Autónoma de México
    • Giving 2.0: The MOOC: Stanford 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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