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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
      I

      Infosec

      Computer Forensics

      Skills you'll gain: File Systems, Microsoft Windows, Cybersecurity, TCP/IP, Network Protocols, Data Security, Information Systems Security, Litigation Support, Network Security, Operating Systems, Data Structures, General Networking, Data Validation, Record Keeping, Data Integrity, Data Storage, Data Analysis Software, User Accounts, USB, System Configuration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      321 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Custom and Distributed Training with TensorFlow

      Skills you'll gain: Tensorflow, Deep Learning, Distributed Computing, Performance Tuning, Machine Learning Methods

      4.8
      Rating, 4.8 out of 5 stars
      ·
      434 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Peking University

      计算机组成 Computer Organization

      Skills you'll gain: Microarchitecture, Computer Architecture, Computer Systems, Hardware Architecture, Computer Hardware, Peripheral Devices, Systems Architecture, Data Storage, Data Storage Technologies, Computational Logic

      4.8
      Rating, 4.8 out of 5 stars
      ·
      482 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      First Principles of Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Dimensionality Reduction, 3D Modeling, Photography, Artificial Neural Networks, Virtual Reality, Medical Imaging, Visualization (Computer Graphics), Color Theory, Unsupervised Learning, Deep Learning, Graph Theory, Automation Engineering, Mathematical Modeling, Machine Learning Algorithms, Estimation, Electronic Components, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      215 reviews

      Beginner · Specialization · 3 - 6 Months

    • E

      Eindhoven University of Technology

      RF and millimeter-Wave Circuit Design

      Skills you'll gain: Electronics Engineering, Electronics, Telecommunications, Electronic Systems, Electronic Components, Hardware Design, Electrical Engineering, Wireless Networks, Electronic Hardware, Systems Design, Simulation and Simulation Software, Simulations, Laboratory Experience

      4.7
      Rating, 4.7 out of 5 stars
      ·
      232 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Y

      Yonsei University

      IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies

      Skills you'll gain: Cloud Computing Architecture, Wireless Networks, Cloud Computing, Cloud Services, Internet Of Things, Emerging Technologies, Network Architecture, Telecommunications, Amazon Web Services, General Networking, Infrastructure As A Service (IaaS), Software As A Service, Network Protocols, Amazon Elastic Compute Cloud, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Influence

      Skills you'll gain: Influencing, Relationship Building, Professional Networking, Persuasive Communication, Leadership, Organizational Effectiveness, Initiative and Leadership, Organizational Structure, Business Ethics, Rapport Building, Negotiation, Decision Making, Proactivity, Self-Awareness

      4.7
      Rating, 4.7 out of 5 stars
      ·
      337 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Docker (Software), Artificial Neural Networks, Data Science, Artificial Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      320 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Natural Language Processing on Google Cloud

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Cloud Solutions, Feature Engineering, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      535 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      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
      ·
      903 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Introduction to Cybersecurity & Risk Management

      Skills you'll gain: Threat Modeling, Risk Management, Business Continuity Planning, Asset Protection, Risk Analysis, Risk Management Framework, Security Strategy, Cyber Governance, Risk Mitigation, Vendor Management, Vulnerability Assessments, Security Management, Cyber Risk, Compliance Management, Asset Management, Regulatory Compliance, Cyber Security Policies, Supplier Management, Security Awareness, Cyber Security Strategy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      298 reviews

      Beginner · Specialization · 1 - 3 Months

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

    • Computer Forensics: Infosec
    • Custom and Distributed Training with TensorFlow: DeepLearning.AI
    • 计算机组成 Computer Organization: Peking University
    • First Principles of Computer Vision: Columbia University
    • RF and millimeter-Wave Circuit Design: Eindhoven University of Technology
    • IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies: Yonsei University
    • Influence: University of Pennsylvania
    • IBM AI Enterprise Workflow: IBM
    • Deep Learning and Reinforcement Learning: IBM
    • Natural Language Processing on Google Cloud: Google Cloud

    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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