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  • Pytorch

Pytorch Courses

PyTorch courses can help you learn neural network design, model training, and deep learning techniques. You can build skills in data preprocessing, hyperparameter tuning, and implementing convolutional and recurrent networks. Many courses introduce tools like TensorBoard for visualization and Jupyter Notebooks for interactive coding, showcasing how these skills are applied in projects involving image recognition, natural language processing, and other areas of artificial intelligence (AI).


Popular Pytorch Courses and Certifications


  • I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Mastering Image Segmentation with PyTorch

    Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Data Preprocessing, Data Processing, Regression Analysis

    Beginner · 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, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

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

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    PySpark for Data Science

    Skills you'll gain: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression

    2.7
    Rating, 2.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Building Generative AI-Powered Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Hugging Face, Generative AI, OpenAI, Web Applications, Flask (Web Framework), Python Programming, Natural Language Processing, Prompt Engineering, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    269 reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    PySpark & Python: Hands-On Guide to Data Processing

    Skills you'll gain: PySpark, MySQL, Data Pipelines, Apache Spark, Data Processing, SQL, Data Transformation, Data Manipulation, Distributed Computing, Python Programming, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    41 reviews

    Mixed · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Large Language Modeling, Tensorflow, Convolutional Neural Networks

    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, Machine Learning, Matplotlib, Supervised Learning, Unsupervised Learning, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Aerial Image Segmentation with PyTorch

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

    4
    Rating, 4 out of 5 stars
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • TensorFlow 2 for Deep Learning: Imperial College London
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Mastering Image Segmentation with PyTorch: Packt
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • PySpark for Data Science: Edureka
  • Building Generative AI-Powered Applications with Python: IBM
  • PySpark & Python: Hands-On Guide to Data Processing: EDUCBA
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Programming Generative AI: Unit 1: Pearson

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