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Python Pytorch Tutorials # 2 Transfer Learning : Pytorch Dataloaders
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This is part two of Dataloaders in Pytorch (broke it up because it was too long)
Pytorch is another deep learning framework, which I am finding to be more intuitive than the other popular framework Tensorflow.
In this mini series of transfer learning with Pytorch we will first learn about learn about data preparation using DataLoaders.
In additional we will learn about data transformation using Transformers.
Before data can be feed into a model, it needs to be "prepared" or preprocessed. This preprocessing makes it easier for the model to learn, thus the preprocessing.
Code will be added to my Github once I set up git on my other PC:
Pytorch is another deep learning framework, which I am finding to be more intuitive than the other popular framework Tensorflow.
In this mini series of transfer learning with Pytorch we will first learn about learn about data preparation using DataLoaders.
In additional we will learn about data transformation using Transformers.
Before data can be feed into a model, it needs to be "prepared" or preprocessed. This preprocessing makes it easier for the model to learn, thus the preprocessing.
Code will be added to my Github once I set up git on my other PC:
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