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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

    • U

      University of Illinois Urbana-Champaign

      Leading Teams: Developing as a Leader

      Skills you'll gain: Conflict Management, Leadership Development, Trustworthiness, Strategic Leadership, Decision Making, Emotional Intelligence, Business Leadership, Leadership, Team Leadership, Ethical Standards And Conduct, Courage, Self-Awareness, Professional Development, Negotiation, Growth Mindedness, Curiosity

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Toronto

      The Arts and Science of Relationships: Understanding Human Needs

      Skills you'll gain: Relationship Building, Social Skills, Active Listening, Interpersonal Communications, Communication, Empathy, Self-Awareness, Emotional Intelligence, Needs Assessment, Cultural Diversity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Browser-based Models with TensorFlow.js

      Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, JSON, Applied Machine Learning, Javascript, Artificial Neural Networks, Deep Learning, Data Processing, Real Time Data, Web Applications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Data Cleansing, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      Indian School of Business

      A Life of Happiness and Fulfillment

      Skills you'll gain: Positivity, Resilience, Growth Mindedness, Psychology, Personal Development, Decision Making, Self-Awareness, Creativity, Emotional Intelligence, Mindfulness

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Mixed · Course · 1 - 3 Months

    • I

      ISC2

      Certified in Cybersecurity

      Skills you'll gain: Network Security, Incident Response, Security Controls, Business Continuity, Disaster Recovery, Information Assurance, Configuration Management, Cybersecurity, Security Management, Cyber Attacks, Computer Security Awareness Training, Data Security, Infrastructure Security, Risk Management Framework, Event Monitoring, Encryption, Threat Detection, Role-Based Access Control (RBAC), Authorization (Computing), Cyber Security Policies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Machine Learning Foundations for Product Managers

      Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Algorithms, Performance Metric

      4.6
      Rating, 4.6 out of 5 stars
      ·
      547 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      Edge Impulse

      Introduction to Embedded Machine Learning

      Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Feature Engineering, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      719 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Fundamentals of Network Communication

      Skills you'll gain: Digital Communications, OSI Models, Network Protocols, TCP/IP, Network Routing, Network Architecture, Network Planning And Design, Computer Networking, Network Model, System Programming, Data Integrity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Operating Systems: Overview, Administration, and Security

      Skills you'll gain: Cloud Computing, Linux, Linux Administration, Cloud Security, Operating Systems, Windows PowerShell, Windows Servers, File Systems, System Configuration, Mac OS, Command-Line Interface, Security Controls, Firewall, Virtualization and Virtual Machines, Containerization, User Accounts

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.6K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Elastic Google Cloud Infrastructure: Scaling and Automation

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Load Balancing, Infrastructure as Code (IaC), Cloud Computing, Managed Services, Solution Architecture, IT Automation, Virtual Machines, Network Infrastructure, Virtual Private Networks (VPN), Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.2K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Internet History, Technology, and Security

      Skills you'll gain: Network Security, OSI Models, Network Administration, Network Protocols, Network Architecture, TCP/IP, Web Applications, Computer Networking, Encryption, Internet Of Things, Web Development, Innovation, Emerging Technologies, Hypertext Markup Language (HTML)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

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

    • Leading Teams: Developing as a Leader: University of Illinois Urbana-Champaign
    • The Arts and Science of Relationships: Understanding Human Needs: University of Toronto
    • Browser-based Models with TensorFlow.js: DeepLearning.AI
    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • A Life of Happiness and Fulfillment: Indian School of Business
    • Certified in Cybersecurity: ISC2
    • Machine Learning Foundations for Product Managers: Duke University
    • Introduction to Embedded Machine Learning: Edge Impulse
    • Fundamentals of Network Communication: University of Colorado System
    • Operating Systems: Overview, Administration, and Security: IBM

    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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