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    Results for "neural networks"

    • University of Colorado System

      Linux Server Management and Security

      Skills you'll gain: Linux Administration, Linux, Linux Servers, Red Hat Enterprise Linux, User Accounts, Linux Commands, User Provisioning, Systems Administration, System Configuration, Hardening, Security Controls, IT Management, Server Administration, Authorization (Computing), Network Administration, Software Installation, Network Security, Authentications

      4.6
      Rating, 4.6 out of 5 stars
      ·
      902 reviews

      Intermediate · Course · 1 - 3 Months

    • Georgia Institute of Technology

      System Issues in Cloud Computing

      Skills you'll gain: Cloud Applications, Cloud Development, Cloud-Native Computing, Software-Defined Networking, Cloud Computing, Cloud Infrastructure, Distributed Computing, Application Development, Cloud Management, Virtualization, Virtual Machines, Cloud Computing Architecture, Network Performance Management, Data Store, Network Architecture, Multi-Tenant Cloud Environments, Network Monitoring, Network Infrastructure, Computer Networking, Data Centers

      4.5
      Rating, 4.5 out of 5 stars
      ·
      396 reviews

      Beginner · Specialization · 3 - 6 Months

    • Google Cloud

      Google Workspace Security

      Skills you'll gain: Email Security, Google Workspace, Mobile Security, Security Management, Cloud Security, Application Security, Data Security, Security Controls, Identity and Access Management, Continuous Monitoring, Authentications, Multi-Factor Authentication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      797 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Networking in Google Cloud 日本語版

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Kubernetes, Load Balancing, Infrastructure As A Service (IaaS), Cloud Applications, Identity and Access Management, Cloud Computing, Network Routing, Cloud Storage, Containerization, Network Infrastructure, Application Deployment, TCP/IP, General Networking, Virtual Machines, Network Architecture, Computer Networking, Virtual Private Networks (VPN), Network Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      706 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Eindhoven University of Technology

      Microwave engineering and antennas

      Skills you'll gain: Electronics Engineering, Telecommunications, Electrical Engineering, Electronic Systems, Wireless Networks, Engineering Design Process, Simulation and Simulation Software, Engineering Analysis, Computer-Aided Design, Physics, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      140 reviews

      Intermediate · Course · 1 - 3 Months

    • Duke University

      Explainable AI (XAI)

      Skills you'll gain: Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Natural Language Processing, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Predictive Analytics, Artificial Neural Networks, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Intermediate · Specialization · 1 - 3 Months

    • 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

    • Status: Free
      Free

      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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      46 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • University of Colorado System

      Introduction to Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Encryption, Authentications, Arithmetic, Algorithms, Applied Mathematics, Data Integrity, Probability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      987 reviews

      Beginner · Specialization · 3 - 6 Months

    • IBM

      Machine Learning Introduction for Everyone

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Software Development Life Cycle

      4.5
      Rating, 4.5 out of 5 stars
      ·
      273 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of California, Irvine

      Introduction to Computer Information Systems

      Skills you'll gain: Systems Development, Systems Development Life Cycle, Agile Methodology, Productivity Software, Network Security, Computer Hardware, Hardware Architecture, Computer Systems, Data Security, Systems Design, Risk Management, System Design and Implementation, Information Technology, Software Development Methodologies, Data Ethics, Cybersecurity, System Software, General Networking, Information Privacy, Information Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      228 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free

      Yale University

      The Science of Well-Being for Parents

      Skills you'll gain: Stress Management, Mindfulness, Parent Communication, Time Management, Emotional Intelligence, Productivity, Personal Care, Personal Development, Child Development, Positive Behavior Support, Resilience

      5
      Rating, 5 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to neural networks

    neural networks and deep learning
    neural networks and random forests
    artificial neural networks
    deep neural networks
    convolutional neural networks
    introduction to neural networks
    convolutional neural networks in tensorflow
    foundations of neural networks
    1…323334…153

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

    • Linux Server Management and Security: University of Colorado System
    • System Issues in Cloud Computing: Georgia Institute of Technology
    • Google Workspace Security: Google Cloud
    • Networking in Google Cloud 日本語版: Google Cloud
    • Microwave engineering and antennas: Eindhoven University of Technology
    • Explainable AI (XAI): Duke University
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Deep Learning with PyTorch : Siamese Network: Coursera Project Network
    • Introduction to Applied Cryptography: University of Colorado System
    • Machine Learning Introduction for Everyone: 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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