This IBM course provides learners with an introduction to Deep Learning with Python and PyTorch. Upon successful completion, learners will receive a skill badge, a digital credential that verifies their knowledge and skills. Enroll now to gain the skills needed to develop and deploy deep learning models.
Scaling ML workloads with PyTorch OD39
2.0
Youtube0 learners
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This course provides an introduction to scaling ML workloads with PyTorch. It explains why large model training is necessary and how scaling can create training and model efficiency. It also discusses how larger models can learn with few shot learning, democratizing large-scale ML training and making it more accessible. Finally, it covers how to use PyTorch to scale ML workloads.
PyTorch and Monai for AI Healthcare Imaging - Python Machine Learning Course
4.0
freeCodeCamp3 learners
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This course provides an introduction to PyTorch and Monai for AI Healthcare Imaging. It covers software installation, finding datasets, preprocessing, and common errors. It also explains Dice Loss and Weighted Cross Entropy, two important metrics for AI healthcare imaging. Participants will learn how to use these tools to create AI healthcare imaging models.
PyTorch and Deep Learning for Decision Makers
3.0
Edx36 learners
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This course provides decision makers with an introduction to PyTorch, a powerful deep learning framework. It covers how to use PyTorch to automate and optimize processes, as well as how to develop and deploy state-of-the-art AI applications. Participants will gain a better understanding of the potential of deep learning and how to apply it to their own business.
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