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    • Deep Learning

    Deep Learning Courses Online

    Study deep learning for advanced machine learning. Learn about neural networks, backpropagation, and deep learning frameworks.

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    Explore the Deep Learning Course Catalog

    • I

      Infosec

      Cyber Incident Response

      Skills you'll gain: Incident Response, Computer Security Incident Management, Endpoint Detection and Response, Threat Management, Cyber Operations, Cybersecurity, Cyber Threat Hunting, Security Management, Intrusion Detection and Prevention, Threat Detection, Cyber Attacks, Cyber Security Assessment, Event Monitoring, Network Security, Network Monitoring, Data Security, Business Continuity, Network Analysis, Disaster Recovery, Malware Protection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      248 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Introduction to Bash Shell Scripting

      Skills you'll gain: Bash (Scripting Language), Shell Script, Scripting, Linux Commands, Unix Commands, Scripting Languages, Command-Line Interface, Linux, File Management, Unix, File Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      663 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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
      ·
      212 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      Infosec

      Introduction to Cybersecurity Foundations

      Skills you'll gain: Cybersecurity, Cloud Computing, Network Monitoring, Command-Line Interface, General Networking, Linux, Windows PowerShell, Virtual Machines

      4.7
      Rating, 4.7 out of 5 stars
      ·
      483 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      F

      Fundação Lemann

      Ensino Híbrido: Personalização e Tecnologia na Educação

      Skills you'll gain: Blended Learning, Education Software and Technology, AI Personalization, End User Training and Support, Innovation, Digital Transformation, Continuous Monitoring

      4.9
      Rating, 4.9 out of 5 stars
      ·
      643 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Sesenta años de inteligencia artificial

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Social Sciences, Generative AI, Natural Language Processing, Deep Learning, Emerging Technologies, Human Computer Interaction, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      446 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      National Academy of Sports Medicine

      National Academy of Sports Medicine Nutrition Essentials

      Skills you'll gain: Nutrition and Diet, Nutrition Education, Health Assessment, Coaching, Preventative Care, Behavior Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data Science Capstone

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Data Science, Data Analysis, Data Presentation, Data Collection, Data Storytelling, Data Cleansing, Statistical Analysis, Data Manipulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Gen AI Foundational Models for NLP & Language Understanding

      Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Text Mining, Feature Engineering, Machine Learning Methods

      4.4
      Rating, 4.4 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northwestern University

      The Business of Social

      Skills you'll gain: Social Media Marketing, Social Media Strategy, Social Media, Business Marketing, Marketing Effectiveness, Marketing, Marketing Operations, Performance Measurement, Performance Analysis, Business Metrics, Customer Engagement, Return On Investment, Key Performance Indicators (KPIs), Program Management, Integrated Marketing Communications, Law, Regulation, and Compliance, Information Privacy, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      810 reviews

      Mixed · Course · 1 - 4 Weeks

    • S

      SoFi

      Introduction to Personal Finance

      Skills you'll gain: Goal Setting, Budgeting, Tax, Financial Planning, Cash Flow Forecasting, Financial Analysis, Income Tax, Credit Risk, Finance, Expense Management, Financial Management, Decision Making, Investments, Self-Awareness

      4.7
      Rating, 4.7 out of 5 stars
      ·
      200 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Programming with a Purpose

      Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java, Computational Thinking, Computer Science, Algorithms, Animations, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    Deep Learning learners also search

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    1…919293…428

    In summary, here are 10 of our most popular deep learning courses

    • Cyber Incident Response: Infosec
    • Introduction to Bash Shell Scripting: Coursera Project Network
    • First Principles of Computer Vision: Columbia University
    • Introduction to Cybersecurity Foundations: Infosec
    • Ensino Híbrido: Personalização e Tecnologia na Educação: Fundação Lemann
    • Sesenta años de inteligencia artificial: Universidad Nacional Autónoma de México
    • National Academy of Sports Medicine Nutrition Essentials: National Academy of Sports Medicine
    • Data Science Capstone: Johns Hopkins University
    • Gen AI Foundational Models for NLP & Language Understanding: IBM
    • The Business of Social: Northwestern University

    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 Deep Learning

    Deep learning is a powerful application of machine learning (ML) algorithms modeled after biological systems of information processing called artificial neural networks (ANN). Machine learning is an artificial intelligence (AI) technique that allows computers to automatically learn from data without explicit programming, and deep learning harnesses multiple layers of interconnected neural networks to generate more sophisticated insights.

    While this field of computer science is quite new, it is already being used in a growing range of important applications. Deep learning excels at automated image recognition, also known as computer vision, which is used for creating accurate facial recognition systems and safely driving autonomous vehicles. This approach is also used for speech recognition and natural language processing (NLP) applications, which allow for computers to interact with human users via voice commands.

    Machine learning algorithms such as logistic regression are key to creating deep learning applications, along with commonly used programming languages such as Tensorflow and Python. These programming languages are generally preferred for teaching and learning in this field due to their flexibility and relative accessibility - an important priority given the relevance of deep learning to a wide range of professionals without a computer science background.‎

    A familiarity with the capabilities and development process for deep learning applications can be an asset in a growing number of careers. For example, the use of deep learning is being explored in healthcare for automatic reading of radiology images, as well as searching for patterns in genes and pharmaceutical interactions that can aid in the discovery of new types of medicines. In many fields, even a basic understanding of deep learning can help professionals identify new potential applications of this powerful technology.

    Those with a deeper expertise in deep learning may become computer research scientists in this field, responsible for inventing new algorithms and finding new applications for these techniques. Given the wide range of uses for deep learning, computer scientists in this field are in high demand for jobs at private companies as well as government agencies and research universities. According to the Bureau of Labor Statistics, computer research scientists earned a median annual salary of $122,840 as of 2019, and these jobs are expected to grow much faster than average.‎

    Certainly - in fact, Coursera is one of the best places to learn about deep learning. Through partnerships with deeplearning.ai and Stanford University, Coursera offers courses as well as Specializations taught by some of the pioneering thinkers and educators in this field. You can also learn via courses and Specializations from industry leaders such as Google Cloud and Intel, or get a professional certificate from IBM. Guided Projects also offer an opportunity to build skills in deep learning through hands-on tutorials led by experienced instructors, allowing you to learn with confidence.‎

    The skills or experience you may need to have before studying deep learning, and which can help you better understand an advanced concept such as deep learning, can include sign language reading, music generation, and natural language processing (NLP), in addition to many others. If you have knowledge of Python 3 and understand the basic concepts of general machine-learning algorithms and deep learning, you may have the necessary skills to learn this specialization. You may also want to know about probability and statistics to study deep learning concepts. Basic math, such as algebra and calculus, is also an important prerequisite to deep learning because it relates to machine learning and data science. Also, if you have worked in the tech or artificial intelligence (AI) fields, you may have the necessary experience to study deep learning.‎

    The type of person who is best suited to study deep learning is someone comfortable working with statistics, programming, advanced calculus, advanced algebra, and engineering. Deep learning benefits someone passionate about working in the AI fields which can create types of deep learning networks that help machines perform human functions. A person best suited to learn about deep learning has a vested interest in understanding how the intelligence is built to run everything from driverless cars, mobile devices, stock trading systems, and robotic surgery equipment, for example. Deep learning benefits someone with a goal of working with systems such as computer vision, speech recognition, NLP, audio recognition bioinformatics systems, and medical image analysis.‎

    Deep learning may be right for you if you want to break into AI. The specialization may benefit you if you are a machine learning researcher or practitioner who is seeking to learn the next generation of machine learning, and you want to develop practical skills in the popular deep learning framework TensorFlow. Deep learning is one of the most highly sought-after skills in tech, and mastering it may lead you to many opportunities in the field of AI. It may also benefit you if you want to learn how to build neural networks and how to lead successful machine learning projects, and if you have a passion for learning about convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and how to master concepts in Python and TensorFlow.‎

    Online Deep Learning courses offer a convenient and flexible way to enhance your knowledge or learn new Deep Learning skills. Choose from a wide range of Deep Learning courses offered by top universities and industry leaders tailored to various skill levels.‎

    Yes, Coursera offers a variety of free courses across many topics, including deep learning. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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