Learn PyTorch!

99 PyTorch courses are available from Pluralsight, Udemy, Packt, Datacamp, Coursera and Edx.

PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing. It is primarily developed by Facebook's artificial intelligence research group. It is free and open-source software released under the Modified BSD license. Although the Python interface is more polished and the primary focus of development, PyTorch also has a C++ frontend. - read more on Wikipedia

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Deploying PyTorch Models in Production: PyTorch Playbook

This course covers the important aspects of performing distributed training of PyTorch models^ using the multiprocessing^ data-parallel^ and distributed data-parallel approaches. It also discusses which you can host PyTorch models for prediction.

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Deep Learning : Computer Vision Beginner to Advanced Pytorch

Go Beginner to Pro in Computer Vision in Pytorch / Python with Expert Tips Convolutional Neural Network Deep Learning

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Building Your First PyTorch Solution

This course covers the important practical aspects of installing PyTorch from scratch on a variety of different platforms and getting going with classification and regression models.

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Foundations of PyTorch

This course covers many aspects of building deep learning models in PyTorch^ including neurons and neural networks^ and how PyTorch uses differential calculus to train such models and create dynamic computation graphs in deep learning.

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Image Classification with PyTorch

This course covers the parts of building enterprise-grade image classification systems like image pre-processing^ picking between CNNs and DNNs^ calculating output dimensions of CNNs^ and leveraging pre-trained models using PyTorch transfer learning.

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Natural Language Processing with PyTorch

This course covers the use of advanced neural network constructs and architectures^ such as recurrent neural networks^ word embeddings^ and bidirectional RNNs^ to solve complex word and language modeling problems using PyTorch.

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  • student Intermediate
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Using PyTorch in the Cloud: PyTorch Playbook

This course covers the important aspects of using PyTorch on Amazon Web Services (AWS)^ Microsoft Azure^ and the Google Cloud Platform (GCP)^ including the use of cloud-hosted notebooks^ deep learning VM instances with GPU support^ and PyTorch estimators.

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Deep Learning Adventures with PyTorch

Journey into the world of deep learning using PyTorch. Recognize images^ translate languages^ and paint unique pictures.

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Deep Learning Projects with PyTorch

Step into the world of PyTorch to create deep learning models with the help of real-world examples

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Deep Learning with PyTorch

Build useful and effective deep learning models with the PyTorch Deep Learning framework

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Expediting Deep Learning with Transfer Learning: PyTorch Playbook

This course covers the important design choices that a data professional must make while leveraging pre-trained models using Transfer Learning. It also covers the implementation aspects of different Transfer Learning approaches in PyTorch.

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Hands-On Computer Vision with PyTorch 1.x

Provide computer vision and build systems that rival human sight. Designed for beginners to computer vision or PyTorch.

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