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  • Pytorch Machine Learning Library

Results for "pytorch (machine learning library)"


  • C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize PyTorch: Build and Accelerate Layers

    Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Model Training, Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    PyTorch: Techniques and Ecosystem Tools

    Skills you'll gain: Hugging Face, Model Optimization, Fine-tuning, Transfer Learning, Model Training, Embeddings, Data Preprocessing

    5
    Rating, 5 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Model Optimization, Python Programming, Data Manipulation, Model Training

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Mathematical Modeling, Machine Learning, Data Visualization, Python Programming, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    956 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Learn & Build Machine Learning Models with Python

    Skills you'll gain: Matplotlib, Data Visualization, NumPy, Pandas (Python Package), Model Evaluation, Plot (Graphics), Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Model Training, Machine Learning Methods, Machine Learning, Feature Engineering, Predictive Modeling, Data Wrangling, Applied Machine Learning, Supervised Learning, Data Processing, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    114 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Rmarkdown, Data Presentation, Machine Learning, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • M

    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

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

  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Optimize PyTorch: Build and Accelerate Layers: Coursera
  • PyTorch: Techniques and Ecosystem Tools: DeepLearning.AI
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Applied Machine Learning in Python: University of Michigan
  • Learn & Build Machine Learning Models with Python: EDUCBA
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Machine Learning with Apache Spark: IBM

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