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Advanced PyTorch Optimization, Deployment & Performance | Complete Course
PyTorch Front-End Features: Named Tensors and Type Promotion - Gregory Chanan

PyTorch Front-End Features: Named Tensors and Type Promotion - Gregory Chanan

Advanced PyTorch Optimization, Deployment & Performance | Complete Course

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محتوى الكورس

جميع الدروس
18 درس
52:51 Deep Dive on PyTorch Quantization - Chris Gottbrath
10:39 Deploying your ML Model with TorchServe
07:10 PyTorch Pruning | How it's Made by Michela Paganini
10:38 PyTorch Mobile Runtime for iOS
03:55 TorchAudio: A Quick Intro
05:52 What is Torchtext?
05:34 Torchvision in 5 minutes
07:04 PyTorch Mobile Runtime for Android
16:19 TorchScript and PyTorch JIT | Deep Dive
26:36 Named Tensors, Model Quantization, and the Latest PyTorch Features - Part 1
23:10 PyTorch on Google Cloud TPUs - Google, Salesforce, Facebook
08:56 PyTorch Mobile - David Reiss
03:44 Linear Algebra in PyTorch - Vishwak Srinivasan, CMU
06:31 Dataloader Design for PyTorch - Tongzhou Wang, MIT
09:54 Quantization - Dmytro Dzhulgakov
10:06 Research to Production: PyTorch JIT/TorchScript Updates - Michael Suo
08:26 PyTorch Front-End Features: Named Tensors and Type Promotion - Gregory Chanan
11:30 What’s new in PyTorch 1.3 - Lin Qiao