PyTorch: Deep Learning and Artificial Intelligence
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deeplearningcourses.com
PyTorch: Deep Learning and Artificial Intelligence
Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!
May 24, 2022
PyTorch Tutorial
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PyTorch Tutorial 02 - Tensor Basics
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The PyTorch for Deep Learning Professional Certificate is live 🔥 This certificate, led by Laurence Moroney, teaches you how to build, optimize, and deploy deep learning systems using PyTorch, the most widely adopted deep learning framework of today. Through hands-on projects, you’ll create image classifiers, fine-tune pretrained models, and prepare optimized systems for deployment. You’ll work directly with tensors and training loops, apply computer vision and NLP using TorchVision and Hugging
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The PyTorch for Deep Learning Professional Certificate is live 🔥 This certificate, led by Laurence Moroney, teaches you how to build, optimize, and deploy deep learning systems using PyTorch, the most widely adopted deep learning framework of today. Through hands-on projects, you’ll create image classifiers, fine-tune pretrained models, and prepare optimized systems for deployment. You’ll work directly with tensors and training loops, apply computer vision and NLP using TorchVision and Hugging
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The PyTorch for Deep Learning Professional Certificate is live 🔥 This certificate, led by Laurence Moroney, teaches you how to build, optimize, and deploy deep learning systems using PyTorch, the most widely adopted deep learning framework of today. Through hands-on projects, you’ll create image classifiers, fine-tune pretrained models, and prepare optimized systems for deployment. You’ll work directly with tensors and training loops, apply computer vision and NLP using TorchVision and Hugging
2:18
The PyTorch for Deep Learning Professional Certificate is live 🔥 This certificate, led by Laurence Moroney, teaches you how to build, optimize, and deploy deep learning systems using PyTorch, the most widely adopted deep learning framework of today. Through hands-on projects, you’ll create image classifiers, fine-tune pretrained models, and prepare optimized systems for deployment. You’ll work directly with tensors and training loops, apply computer vision and NLP using TorchVision and Hugging
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