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  • An Introduction To Practical Deep Learning

Results for "an introduction to practical deep learning"


  • Status: Free Trial
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    I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Science, Data Warehousing, Data Visualization, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    L

    LearnQuest

    Practical Machine Learning without Coding

    Skills you'll gain: No-Code Development, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Data Ethics, Application Deployment, Business Continuity, Compliance Auditing, Performance Tuning, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Jupyter, Deep Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Réseaux neuronaux et Deep Learning

    Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning, Performance Tuning, Machine Learning Algorithms, Python Programming, NumPy, Linear Algebra, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Machine Learning, Supervised Learning, Linear Algebra, Calculus

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Electrodynamics: An Introduction

    Skills you'll gain: Electrical Engineering, Basic Electrical Systems, Materials science, Physics, Integral Calculus, Applied Mathematics, Differential Equations, Scientific Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    629 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Curso Completo de Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Machine Learning, Machine Learning Algorithms, Data Processing

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : GradCAM

    Skills you'll gain: PyTorch (Machine Learning Library), Heat Maps, Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Leadership: An Introduction

    Skills you'll gain: Persuasive Communication, Business Ethics, Creativity, Creative Thinking, Leadership, Organizational Leadership, Ethical Standards And Conduct, Influencing, Innovation, Diversity and Inclusion, Team Leadership, Strategic Leadership, Business Leadership, Leadership Development, Leadership and Management, Responsible AI, Communication, Artificial Intelligence, Decision Making, Cultural Diversity

    4.5
    Rating, 4.5 out of 5 stars
    ·
    36 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Automation, Supervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    279 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Introduction to Engineering Mechanics

    Skills you'll gain: Engineering Analysis, Mechanics, Torque (Physics), Engineering Calculations, Mechanical Engineering, Engineering, Civil Engineering, Structural Analysis, Applied Mathematics, Trigonometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.1K reviews

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular an introduction to practical deep learning courses

  • Introduction to Data Analytics: IBM
  • Practical Machine Learning without Coding: LearnQuest
  • Introduction to Computer Vision and Image Processing: IBM
  • Réseaux neuronaux et Deep Learning: DeepLearning.AI
  • Neuronale Netze und Deep Learning: DeepLearning.AI
  • Electrodynamics: An Introduction: Korea Advanced Institute of Science and Technology(KAIST)
  • Curso Completo de Deep Learning: Coursera
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Deep Learning with PyTorch : GradCAM: Coursera
  • Leadership: An Introduction: Johns Hopkins University

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