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Janani Ravi

PyTorch is an open-source machine learning and deep learning library developed at Facebook for the Python programming language. This skill teaches you how to apply and deploy PyTorch to address common problem domains, such as image classification, style transfer, natural language processing, and predictive analytics.

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What's inside

Four courses

Image Classification with PyTorch

(3 hours)
This course covers building enterprise-grade image classification systems, including image pre-processing, choosing between CNNs and DNNs, calculating CNN output dimensions, and using pre-trained models with PyTorch transfer learning.

Style Transfer with PyTorch

(1 hours)
This course covers neural style transfer, a technique for transforming images, and Generative Adversarial Networks for creating realistic images and videos.

Natural Language Processing with PyTorch

(2 hours)
This course covers 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.

Deploying PyTorch Models in Production: PyTorch Playbook

(2 hours)
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 how you can host PyTorch models for prediction.

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