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Linkedin - PyTorch Essential Training Deep Learning/01 - Introduction/02 - What you should know before watching this course.srt |
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Linkedin - PyTorch Essential Training Deep Learning/01 - Introduction/01 - Welcome.srt |
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Linkedin - PyTorch Essential Training Deep Learning/06 - Conclusion/01 - Future project ideas.srt |
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Linkedin - PyTorch Essential Training Deep Learning/04 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.srt |
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Linkedin - PyTorch Essential Training Deep Learning/05 - Troubleshooting and CPUGPU Usage/03 - Validation.srt |
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Linkedin - PyTorch Essential Training Deep Learning/04 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.srt |
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Linkedin - PyTorch Essential Training Deep Learning/03 - Working with Classes and Tensors/03 - Training the network.srt |
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Linkedin - PyTorch Essential Training Deep Learning/03 - Working with Classes and Tensors/02 - Tensors.srt |
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Linkedin - PyTorch Essential Training Deep Learning/04 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.srt |
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Linkedin - PyTorch Essential Training Deep Learning/02 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.srt |
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Linkedin - PyTorch Essential Training Deep Learning/03 - Working with Classes and Tensors/01 - Classes.srt |
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Linkedin - PyTorch Essential Training Deep Learning/04 - Working with Loss, Autograd, and Optimizers/02 - Autograd.srt |
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Linkedin - PyTorch Essential Training Deep Learning/05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.srt |
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Linkedin - PyTorch Essential Training Deep Learning/04 - Working with Loss, Autograd, and Optimizers/01 - Loss.srt |
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Linkedin - PyTorch Essential Training Deep Learning/02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.srt |
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Linkedin - PyTorch Essential Training Deep Learning/05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.srt |
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Linkedin - PyTorch Essential Training Deep Learning/04 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/01 - Introduction/02 - What you should know before watching this course.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/03 - Working with Classes and Tensors/03 - Training the network.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/03 - Working with Classes and Tensors/02 - Tensors.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/05 - Troubleshooting and CPUGPU Usage/03 - Validation.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/04 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/01 - Introduction/01 - Welcome.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/04 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/04 - Working with Loss, Autograd, and Optimizers/02 - Autograd.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/06 - Conclusion/01 - Future project ideas.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/02 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/04 - Working with Loss, Autograd, and Optimizers/01 - Loss.mp4 |
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Linkedin - PyTorch Essential Training Deep Learning/03 - Working with Classes and Tensors/01 - Classes.mp4 |
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