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  • Pytorch Machine Learning Library

Results for "pytorch (machine learning library)"


  • Status: New
    New
    P

    Packt

    Modern Deep Learning Foundations

    Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    R

    Rice University

    Practical Metacognition for Learning

    Skills you'll gain: Problem Solving, Overcoming Obstacles, Mental Concentration, Learning Theory

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    Tsinghua University

    MOOC and Blended Learning

    Skills you'll gain: Blended Learning, Digital pedagogy, Education Software and Technology, Emerging Technologies, Digital Transformation, Innovation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Generative AI, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing, Matlab, Software Visualization, Classification Algorithms, Model Optimization, Predictive Modeling, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Analytics and Deep Learning

    Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Recurrent Neural Networks (RNNs), Apache Hadoop, Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Generative AI, Convolutional Neural Networks, Transfer Learning, Probability & Statistics, Data Infrastructure, Machine Learning

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Deep Learning for AI Part 1

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Intel

    Leader of Learning Experiences

    Skills you'll gain: Innovation, Lesson Planning, Education Software and Technology, Digital pedagogy, Education and Training, Instructional Strategies, Teamwork, Collaboration, Classroom Management, Virtual Environment, Curriculum Planning, Creative Problem-Solving, Team Collaboration, Stress Management, Technology Strategies, Technology Roadmaps, Social Impact, Patient Communication, digital literacy, Artificial Intelligence

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Réseaux neuronaux et Deep Learning

    Skills you'll gain: Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Convolutional Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Performance Tuning, NumPy, Jupyter, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimize ML Models: Hyperparameter Tuning

    Skills you'll gain: Model Optimization, Model Training, Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Production-Ready Multimodal ML Engineering

    Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Data Infrastructure, Model Training, Model Optimization, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

1…454647…834

In summary, here are 10 of our most popular pytorch (machine learning library) courses

  • Modern Deep Learning Foundations: Packt
  • Practical Metacognition for Learning: Rice University
  • MOOC and Blended Learning: Tsinghua University
  • Deep Learning for Computer Vision: MathWorks
  • Data Analytics and Deep Learning: Illinois Tech
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Deep Learning for AI Part 1: Northeastern University
  • Leader of Learning Experiences: Intel
  • Réseaux neuronaux et Deep Learning: DeepLearning.AI
  • Optimize ML Models: Hyperparameter Tuning: Coursera

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