Deep Learning - Computer Vision for Beginners Using PyTorch - Preparation and Evaluation

The video tutorial covers setting up a machine learning model, focusing on batch size selection, data preparation, and model setup. It explains creating training and test datasets using torchvision, defining the model, loss function, and optimizer. The tutorial also includes a detailed explanation of the evaluation function to assess model performance. Finally, it demonstrates training the model over multiple epochs and printing the results after each epoch.

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