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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

    • U

      University of Michigan

      The Finite Element Method for Problems in Physics

      Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Linear Algebra, C++ (Programming Language), Calculus, Open Source Technology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 3 - 6 Months

    • U

      University of California, Irvine

      Adjectives and Adjective Clauses

      Skills you'll gain: Grammar, Vocabulary, English Language, Oral Comprehension

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado System

      Fundamentals of Computer Network Security

      Skills you'll gain: Cryptography, Public Key Infrastructure, Cybersecurity, Application Security, Data Security, Firewall, Cyber Attacks, Data Encryption Standard, Penetration Testing, Network Security, Information Assurance, Encryption, Risk Management Framework, Advanced Encryption Standard (AES), Intrusion Detection and Prevention, Vulnerability Scanning, Information Systems Security, Secure Coding, Security Controls, Software Design Patterns

      4
      Rating, 4 out of 5 stars
      ·
      579 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado System

      Providing Social, Emotional, Behavioral, and Special Education Services in School

      Skills you'll gain: Individualized Education Programs (IEP), Special Education, School Psychology, School Counseling, Student Support and Services, Social and Human Services, Mental Health, Preventative Care, Behavior Management, Positive Behavior Support, Mental and Behavioral Health, Crisis Intervention, Trauma Care, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      873 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Extended Reality for Everybody

      Skills you'll gain: Augmented and Virtual Reality (AR/VR), Augmented Reality, Storyboarding, Virtual Reality, Unreal Engine, Usability Testing, Design Thinking, Prototyping, Unity Engine, User Experience Design, Interaction Design, Conceptual Design, Human Centered Design, User Research, Application Development, Wireframing, Web Content Accessibility Guidelines, Emerging Technologies, Data Ethics, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      554 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of California San Diego

      Introduction to Graph Theory

      Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Data Structures, Network Routing, Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Program Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • A

      American Psychological Association

      Psychology of Anxiety, Mood, Substance Use, and Addictive Behaviors

      Skills you'll gain: Mental and Behavioral Health Specialties, Mental Health Diseases and Disorders, Clinical Psychology, Mental and Behavioral Health, Mental Health Therapies, Psychiatry, Psychological Evaluations, Mental Health, Behavioral Health, Psychotherapy, Cultural Diversity, Epidemiology, Psychiatric And Mental Health Nursing, Pharmacology, Neurology, Demography, Psychology, Pharmacotherapy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      150 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Peking University

      Chinese for HSK 2

      Skills you'll gain: Language Learning, Language Competency, Vocabulary, Grammar, Oral Comprehension

      4.6
      Rating, 4.6 out of 5 stars
      ·
      902 reviews

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      Human Anatomy & Physiology I

      Skills you'll gain: Anatomy, Orthopedics, Kinesiology, Neurology, Medical Terminology, Biochemistry, Biology, Chemistry, Physical Therapy, Pathology, Molecular, Cellular, and Microbiology, Pharmacology, Radiography, Life Sciences

      4.8
      Rating, 4.8 out of 5 stars
      ·
      113 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      I

      IBM

      Machine Learning with Apache Spark

      Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Classification And Regression Tree (CART), Data Transformation, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      97 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      AI and Climate Change

      Skills you'll gain: Image Analysis, Environmental Monitoring, Artificial Intelligence, Deep Learning, Data Processing, Forecasting, Machine Learning, Computer Vision, Environmental Science, Exploratory Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      The Brain and Space

      Skills you'll gain: Spatial Analysis, Neurology, Human Learning, Experimentation, Laboratory Research, Physics, Biology, General Science and Research, Magnetic Resonance Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      652 reviews

      Beginner · Course · 1 - 3 Months

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

    • The Finite Element Method for Problems in Physics: University of Michigan
    • Adjectives and Adjective Clauses: University of California, Irvine
    • Fundamentals of Computer Network Security: University of Colorado System
    • Providing Social, Emotional, Behavioral, and Special Education Services in School: University of Colorado System
    • Extended Reality for Everybody: University of Michigan
    • Introduction to Graph Theory: University of California San Diego
    • Psychology of Anxiety, Mood, Substance Use, and Addictive Behaviors: American Psychological Association
    • Chinese for HSK 2: Peking University
    • Human Anatomy & Physiology I: Rice University
    • Machine Learning with Apache Spark: 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 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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