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  • Pytorch Framework

Results for "pytorch+framework"


  • D

    DeepLearning.AI

    PyTorch: Techniques and Ecosystem Tools

    Skills you'll gain: Transfer Learning, Embeddings, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Model Deployment

    5
    Rating, 5 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Data Presentation, Machine Learning, Matplotlib, Supervised Learning, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Hadoop Platform and Application Framework

    Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Infrastructure, Data Processing, Distributed Computing, Performance Tuning, Scalability, Data Storage, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Deployment, iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    655 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Computer Vision, Model Evaluation, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • P

    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Detecting COVID-19 with Chest X-Ray using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Machine Learning, Computer Vision, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    340 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Advanced Framework Development and Integration

    Skills you'll gain: Version Control, Git (Version Control System), Selenium (Software), Test Automation, Jenkins, Test Script Development, Continuous Integration, Test Execution Engine, Test Data, Test Case, Software Testing, Software Design Patterns, Command-Line Interface, File I/O

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Advanced · Course · 1 - 3 Months

  • 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, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Deep Learning, Unsupervised Learning, Embeddings, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Flask (Web Framework)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 4 Weeks

1…456…9

In summary, here are 10 of our most popular pytorch+framework courses

  • PyTorch: Techniques and Ecosystem Tools: DeepLearning.AI
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Hadoop Platform and Application Framework: University of California San Diego
  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Deep Learning & Modern AI Architectures: Packt
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera
  • Advanced Framework Development and Integration: Packt
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • Foundations of ML & Python for Data Science: Packt

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