PYTORCH ESSENTIAL TRAINING: DEEP LEARNING (MRKILLER)

  • CategoryOther
  • TypeE-Books
  • LanguageEnglish
  • Total size241.4 MB
  • Uploaded ByMRKILLER
  • Downloads128
  • Last checkedOct. 24th '19
  • Date uploadedOct. 24th '19
  • Seeders 9
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PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It’s gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem—from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network.

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01 - Introduction
  • 02 - What you should know before watching this course.srt (1.4 KB)
  • 01 - Welcome.srt (1.6 KB)
  • 02 - What you should know before watching this course.mp4 (3.8 MB)
  • 01 - Welcome.mp4 (9.4 MB)
06 - Conclusion
  • 01 - Future project ideas.srt (3.0 KB)
  • 01 - Future project ideas.mp4 (14.4 MB)
04 - Working with Loss, Autograd, and Optimizers
  • 04 - Optimizers.srt (3.5 KB)
  • 05 - Using optimizers.srt (5.4 KB)
  • 03 - Autograd with tensors.srt (5.9 KB)
  • 02 - Autograd.srt (7.1 KB)
  • 01 - Loss.srt (8.3 KB)
  • 04 - Optimizers.mp4 (2.9 MB)
  • 03 - Autograd with tensors.mp4 (8.9 MB)
  • 05 - Using optimizers.mp4 (10.0 MB)
  • 02 - Autograd.mp4 (10.8 MB)
  • 01 - Loss.mp4 (41.4 MB)
05 - Troubleshooting and CPUGPU Usage
  • 03 - Validation.srt (4.9 KB)
  • 01 - Troubleshooting.srt (7.6 KB)
  • 02 - CPU to GPU.srt (9.1 KB)
  • 03 - Validation.mp4 (7.8 MB)
  • 01 - Troubleshooting.mp4 (11.5 MB)
  • 02 - CPU to GPU.mp4 (14.8 MB)
03 - Working with Classes and Tensors
  • 03 - Training the network.srt (5.5 KB)
  • 02 - Tensors.srt (5.8 KB)
  • 01 - Classes.srt (6.2 KB)
  • 03 - Training the network.mp4 (5.7 MB)
  • 02 - Tensors.mp4 (7.2 MB)
  • 01 - Classes.mp4 (48.9 MB)
02 - Fashion MNIST and Neural Networks
  • 01 - Working with the Fashion MNIST dataset.srt (5.9 KB)
  • 02 - Neural network intuition.srt (8.9 KB)
  • 02 - Neural network intuition.mp4 (10.6 MB)
  • 01 - Working with the Fashion MNIST dataset.mp4 (33.2 MB)

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