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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: New
      New
      P

      Packt

      Node-RED: IoT projects with ESP32, MQTT and Docker

      Skills you'll gain: Internet Of Things, Docker (Software), Interactive Data Visualization, Wireless Networks, Embedded Systems, Development Environment, Network Protocols, Node.JS, Low Voltage, Data Storage, Encryption, Automation, Debugging

      Intermediate · Course · 3 - 6 Months

    • Status: Free
      Free
      G

      Google Cloud

      Attention Mechanism - 日本語版

      Skills you'll gain: Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - Bahasa Indonesia

      Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Applied Machine Learning, Computer Vision

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Mastering Machine Learning Algorithms using Python

      Skills you'll gain: Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, Data Processing, Predictive Modeling, NumPy, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Machine Learning, Regression Analysis

      Intermediate · Specialization · 3 - 6 Months

    • T

      Tecnológico de Monterrey

      A liderança do gerente de projeto

      Skills you'll gain: Negotiation, Emotional Intelligence, Team Management, Verbal Communication Skills, Team Building, Leadership, Communication, Project Management, Conflict Management, Interpersonal Communications, Non-Verbal Communication

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - Français

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Predictive Modeling, Test Data, Deep Learning, Data Processing, Image Analysis, Application Programming Interface (API), Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Image Generation - Deutsch

      Skills you'll gain: Generative AI, Google Cloud Platform, Image Analysis, Deep Learning, Machine Learning Methods, Unsupervised Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      AZ-204 Developing Solutions for Microsoft Azure

      Skills you'll gain: Microsoft Azure, Serverless Computing, Virtual Machines, Containerization, Cloud Applications, Docker (Software), Platform As A Service (PaaS), Application Deployment, Infrastructure As A Service (IaaS), Kubernetes, .NET Framework, Data Security, Event-Driven Programming, Azure Active Directory, Cloud Security, Microservices, API Design, Cloud Storage, System Monitoring, Scalability

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Cisco CyberOps Associate (200-201)

      Skills you'll gain: Cyber Operations, Cyber Threat Intelligence, Cybersecurity, Intrusion Detection and Prevention, Firewall, Security Controls, Network Security, Network Monitoring, Incident Response, Threat Modeling, Security Information and Event Management (SIEM), Threat Detection, Security Awareness, Network Analysis, Risk Management Framework, Vulnerability Management, Encryption, Data Integrity

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Appraisal Skills

      Skills you'll gain: Performance Appraisal, Employee Performance Management, Employee Coaching, Constructive Feedback, Follow Through, Expectation Management, Conflict Management, Emotional Intelligence, Professionalism, Goal Setting, Active Listening

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Workspace Security - Español

      Skills you'll gain: Single Sign-On (SSO), Lightweight Directory Access Protocols, Security Assertion Markup Language (SAML), Google Workspace, Cloud Security, Application Security, Threat Detection, Application Programming Interface (API), Authentications, Security Management, Multi-Factor Authentication, Identity and Access Management, User Accounts

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models - בעברית

      Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision

      Advanced · Course · 1 - 4 Weeks

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

    • Node-RED: IoT projects with ESP32, MQTT and Docker: Packt
    • Attention Mechanism - 日本語版: Google Cloud
    • Create Image Captioning Models - Bahasa Indonesia: Google Cloud
    • Mastering Machine Learning Algorithms using Python: Packt
    • A liderança do gerente de projeto: Tecnológico de Monterrey
    • Applying Machine Learning to Your Data with GC - Français: Google Cloud
    • Introduction to Image Generation - Deutsch: Google Cloud
    • AZ-204 Developing Solutions for Microsoft Azure: Packt
    • Cisco CyberOps Associate (200-201): Packt
    • Appraisal Skills: Packt

    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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