ModernComputerVisionPytorch

Notebooks here are the chapter by chapter exercises in Pytorch regrading various Computer vision algorithms and examples.

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
AutoGradsTensorsAndSpeedComparison.ipynb		AutoGradsTensorsAndSpeedComparison.ipynb
BuildingANeuralNetPytorch.ipynb		BuildingANeuralNetPytorch.ipynb
Chapter3DeepNeuralNetworks.ipynb		Chapter3DeepNeuralNetworks.ipynb
Chapter3ScalingDatasets.ipynb		Chapter3ScalingDatasets.ipynb
Chapter4.3_Visualizing_the_features.ipynb		Chapter4.3_Visualizing_the_features.ipynb
Chapter4_2_DataAugmentation.ipynb		Chapter4_2_DataAugmentation.ipynb
Chapter4_CNNs.ipynb		Chapter4_CNNs.ipynb
Chapter_4_4_Classifying_real_world_images.ipynb		Chapter_4_4_Classifying_real_world_images.ipynb
Chapter_5_2_Multi_regression_Multi_task_learning.ipynb		Chapter_5_2_Multi_regression_Multi_task_learning.ipynb
Chapter_5_Transfer_learning_for_classification.ipynb		Chapter_5_Transfer_learning_for_classification.ipynb
PytorchBasics.ipynb		PytorchBasics.ipynb
README.md		README.md
SequentialMethodBuildingNN.ipynb		SequentialMethodBuildingNN.ipynb

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