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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
      P

      Packt

      Advanced CNNs, Transfer Learning, and Recurrent Networks

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Medical Imaging, Performance Tuning

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Alibaba Cloud Academy

      Alibaba Cloud Computing

      Skills you'll gain: Relational Databases, Load Balancing, Data Visualization Software, Cloud Security, Network Security, Cloud Computing, Big Data, Database Management, General Networking, Apache Hadoop, Cloud Infrastructure, Cloud Computing Architecture, Network Architecture, Apache Spark, Data Security, Servers, Apache Hive, Application Security, Distributed Computing, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Infosec

      OWASP Top 10 - 2021

      Skills you'll gain: Open Web Application Security Project (OWASP), Authentications, Vulnerability Assessments, Application Security, Vulnerability Management, Event Monitoring, Secure Coding, Data Integrity, Continuous Monitoring, Security Controls, Security Testing, Cybersecurity, Patch Management, Authorization (Computing), Cryptography, System Configuration, Encryption, Software Design, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      118 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Juniper Networks

      Junos Routing, Operations, and Maintenance

      Skills you'll gain: Juniper Network Technologies, Network Routers, Routing Protocols, Network Routing, Authentications, Network Administration, System Monitoring, Open Shortest Path First (OSPF), System Configuration, User Accounts, Network Protocols, Package and Software Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Networking, Peripherals, and Wireless Technologies

      Skills you'll gain: Computer Displays, TCP/IP, Virtual Local Area Network (VLAN), Wireless Networks, Local Area Networks, General Networking, Peripheral Devices, Network Routers, Hardware Troubleshooting, USB, Network Troubleshooting, Dynamic Host Configuration Protocol (DHCP), Network Infrastructure, Network Switches, Network Protocols

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Jupyter, Matplotlib, NumPy

      Advanced · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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

      3.6
      Rating, 3.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      Universidade de São Paulo

      Off the Clock: The Many Faces of Time

      Skills you'll gain: Timelines, Cultural Diversity, Anthropology, Liberal Arts, Psychology, Environmental Science, Physics, Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Implement Platform Protection

      Skills you'll gain: Microsoft Azure, Application Security, Cloud Security, Infrastructure Security, Kubernetes, Network Security, Security Engineering, Firewall, Endpoint Security, Identity and Access Management, Infrastructure As A Service (IaaS), Role-Based Access Control (RBAC), Virtual Machines, Containerization, Distributed Denial-Of-Service (DDoS) Attacks, Virtual Private Networks (VPN), Encryption

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      M2M & IoT Interface Design & Protocols for Embedded Systems

      Skills you'll gain: Internet Of Things, Cloud Computing Architecture, Amazon Web Services, Application Security, Application Programming Interface (API), Microservices, Embedded Systems, Cloud Services, Network Protocols, Cloud Technologies, Cybersecurity, Serial Peripheral Interface, Wireless Networks, Wide Area Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      122 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Foundations of Computer Science

      Skills you'll gain: Visual Basic (Programming Language), Database Management, System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Software Development, Automation, Analysis, Cloud Computing, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Machine Learning and Deep Learning

      Skills you'll gain: Deep Learning, Shiny (R Package), Applied Machine Learning, Image Analysis, PyTorch (Machine Learning Library), Predictive Modeling, Artificial Neural Networks, Machine Learning Methods, Statistical Machine Learning, Tensorflow, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Dimensionality Reduction, Unsupervised Learning, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing

      Advanced · Course · 1 - 3 Months

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

    • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
    • Alibaba Cloud Computing: Alibaba Cloud Academy
    • OWASP Top 10 - 2021: Infosec
    • Junos Routing, Operations, and Maintenance: Juniper Networks
    • Networking, Peripherals, and Wireless Technologies: Packt
    • Advanced Generative Adversarial Networks (GANs): Packt
    • Applied Machine Learning: Johns Hopkins University
    • Off the Clock: The Many Faces of Time: Universidade de São Paulo
    • Implement Platform Protection: Microsoft
    • M2M & IoT Interface Design & Protocols for Embedded Systems: 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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