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