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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

    • P

      Palo Alto Networks

      Palo Alto Networks Cloud Security Fundamentals

      Skills you'll gain: Cloud Security, DevSecOps, Cloud-Native Computing, Cloud Computing Architecture, Cloud Computing, Application Security, Infrastructure Security, DevOps, Software As A Service, Cloud Infrastructure, Public Cloud, Network Security, CI/CD, Docker (Software), Containerization, Virtual Machines, Hybrid Cloud Computing, Serverless Computing, Vulnerability Scanning, Data Centers

      4.7
      Rating, 4.7 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      E

      EIT Digital

      Mastering Digital Twins

      Skills you'll gain: Data Integration, Digital Transformation, Internet Of Things, Product Lifecycle Management, Digital Communications, Product Development, Real Time Data, Business Technologies, Operational Efficiency, Simulation and Simulation Software, Emerging Technologies

      4.1
      Rating, 4.1 out of 5 stars
      ·
      442 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      EDUCBA

      TOGAF 10 Foundation

      Skills you'll gain: Enterprise Architecture, Stakeholder Management, Risk Management, Information Technology Architecture, Solution Architecture, Data Architecture, Governance, Gap Analysis, Business Transformation, Change Management, Business Process Reengineering, Information Systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      197 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Information Technology (IT) Fundamentals for Everyone

      Skills you'll gain: Information Technology, Computer Hardware, Cloud Computing, Network Troubleshooting, Software Installation, Technical Support and Services, Cybersecurity, Hardware Troubleshooting, Data Storage, Database Software, Operating Systems, Computer Networking, Computer Security Awareness Training, IT Infrastructure

      4.7
      Rating, 4.7 out of 5 stars
      ·
      193 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Siamese Network

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • 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
      ·
      134 reviews

      Advanced · Course · 1 - 3 Months

    • F

      Fortinet, Inc.

      Fortinet Network Security

      Skills you'll gain: Firewall, Virtual Private Networks (VPN), Network Troubleshooting, Network Routing, Network Security, Intrusion Detection and Prevention, Network Administration, Authentications, Network Monitoring, Security Information and Event Management (SIEM), Threat Management, Network Performance Management, Enterprise Security, Network Architecture, Security Management, Lightweight Directory Access Protocols, System Monitoring, Security Controls, Network Infrastructure, System Configuration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      VLSI CAD Part II: Layout

      Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Electronic Hardware, Systems Design, Computer Architecture, Electrical and Computer Engineering, Engineering Design Process, Semiconductors, Network Routing, Computational Logic, Data Structures, Algorithms, Mathematical Modeling, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Giving Helpful Feedback

      Skills you'll gain: Constructive Feedback, Recognizing Others, Team Motivation, Tactfulness, Performance Review, Employee Performance Management, Emotional Intelligence, Coaching, Creativity, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • I

      INSEAD

      Blockchain, Cryptoassets, and Decentralized Finance

      Skills you'll gain: Blockchain, Digital Assets, FinTech, Business Modeling, Financial Systems, Emerging Technologies, Business Transformation, Distributed Computing, Transaction Processing, Identity and Access Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      379 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Adaptability and Resiliency

      Skills you'll gain: Adaptability, Resilience, Professional Development, Overcoming Obstacles, Self-Awareness, Cognitive flexibility, Emotional Intelligence, Personal Development, Relationship Building, Plan Execution, Crisis Management, Goal Setting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      587 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Palo Alto Networks Cloud Security Fundamentals: Palo Alto Networks
    • Applied Machine Learning: Johns Hopkins University
    • Mastering Digital Twins: EIT Digital
    • TOGAF 10 Foundation: EDUCBA
    • Information Technology (IT) Fundamentals for Everyone: IBM
    • Deep Learning with PyTorch : Siamese Network: Coursera Project Network
    • Machine Learning Capstone: IBM
    • Fortinet Network Security: Fortinet, Inc.
    • VLSI CAD Part II: Layout: University of Illinois Urbana-Champaign
    • Giving Helpful Feedback: University of Colorado Boulder

    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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