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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


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    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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    Packt

    Modern Natural Language Processing

    Skills you'll gain: Natural Language Processing, Deep Learning, Large Language Modeling, Text Mining, Semantic Web, Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Unsupervised Learning, Probability Distribution, Machine Learning Algorithms, Algorithms

    Intermediate · Specialization · 3 - 6 Months

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    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Advanced Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Network Architecture, Performance Tuning, Matplotlib, Jupyter, NumPy

    Advanced · Course · 3 - 6 Months

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    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Generative AI, Generative Model Architectures, Application Deployment, Artificial Neural Networks, Text Mining, Deep Learning, Cloud Hosting, Semantic Web, Restful API

    Intermediate · Specialization · 1 - 4 Weeks

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    Packt

    Natural Language Processing - Transformers with Hugging Face

    Skills you'll gain: Large Language Modeling, Text Mining, Semantic Web, Generative AI, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Unsupervised Learning

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Последовательные модели

    Skills you'll gain: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Recommender Systems Complete Course Beginner to Advanced

    Skills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    YOLO-NAS + v8 Full-Stack Computer Vision Course

    Skills you'll gain: Computer Vision, Mobile Development, PyTorch (Machine Learning Library), Flask (Web Framework), Application Development, Tensorflow, Deep Learning, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Containerization, User Interface (UI), Performance Tuning

    Intermediate · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    ML Pipelines on Google Cloud en Español

    Skills you'll gain: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Kubernetes, Tensorflow, Metadata Management, PyTorch (Machine Learning Library), Containerization

    Advanced · Course · 1 - 3 Months

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    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

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

  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Modern Natural Language Processing: Packt
  • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
  • Advanced Generative Adversarial Networks (GANs): Packt
  • Introduction to Transformer Models for NLP: Pearson
  • Natural Language Processing - Transformers with Hugging Face: Packt
  • Последовательные модели: DeepLearning.AI
  • Recommender Systems Complete Course Beginner to Advanced: Packt
  • YOLO-NAS + v8 Full-Stack Computer Vision Course: Packt
  • Statistical Learning for Engineering Part 1: Northeastern University

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