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  • Introduction To Deep Learning

Results for "introduction to deep learning "


  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Analytics and Deep Learning

    Skills you'll gain: Big Data, Machine Learning Algorithms, NoSQL, Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Apache Hadoop, Exploratory Data Analysis, Apache Kafka, Apache Spark, Generative AI, Data Cleansing, Analytics, Real Time Data, Apache Cassandra, Artificial Neural Networks, Keras (Neural Network Library), PyTorch (Machine Learning Library), Machine Learning

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    38 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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
    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

  • 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

  • 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
    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: New
    New
    Status: Free Trial
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    U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Applied Machine Learning, Generative Model Architectures, Unsupervised Learning, Artificial Intelligence

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · 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

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Algorithms, Arithmetic

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Introduction to Financial Engineering and Risk Management

    Skills you'll gain: Financial Market, Securities (Finance), Derivatives, Financial Systems, Actuarial Science, Mathematical Modeling, Applied Mathematics, Financial Trading, Capital Markets, Financial Services, Securities Trading, Futures Exchange, Equities, Finance, Financial Modeling, Market Liquidity, Risk Modeling, Probability, Risk Management, Portfolio Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    307 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Financial Forecasting, Quantitative Research, Financial Modeling, Forecasting, Regression Analysis, Finance

    4
    Rating, 4 out of 5 stars
    ·
    889 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to introduction to deep learning

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1…222324…834

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

  • Data Analytics and Deep Learning: Illinois Tech
  • Neuronale Netze und Deep Learning: DeepLearning.AI
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Introduction to Computer Vision and Image Processing: IBM
  • Deep Learning with PyTorch : GradCAM: Coursera
  • Microsoft Azure Machine Learning: Microsoft
  • Deep Learning for Computer Vision: University of Colorado Boulder
  • Introduction to Engineering Mechanics: Georgia Institute of Technology
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Introduction to Statistics: Stanford University

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