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A repository of Jupyter notebooks showcasing a range of PyTorch applications, from foundational concepts and linear regression to neural network models for image classification tasks.

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.gitignore

.gitignore

 
 

Cats vs Dogs Classification using EfficientNet 95% Accuracy.ipynb

Cats vs Dogs Classification using EfficientNet 95% Accuracy.ipynb

 
 

Foundation_of_PyTorch.ipynb

Foundation_of_PyTorch.ipynb

 
 

Fundamental_Workflow_of_PyTorch.ipynb

Fundamental_Workflow_of_PyTorch.ipynb

 
 

Gradient Descent (Autograd & Backpropagation).ipynb

Gradient Descent (Autograd & Backpropagation).ipynb

 
 

Linear Regression Manually.ipynb

Linear Regression Manually.ipynb

 
 

Linear Regression with PyTroch.ipynb

Linear Regression with PyTroch.ipynb

 
 

Mastering PyTorch Tensors Fundamentals to Advance Guide.ipynb

Mastering PyTorch Tensors Fundamentals to Advance Guide.ipynb

 
 

Road Sign Detection Enhancing-Model Performance with Batch Normalization and Data Augmentation.ipynb

Road Sign Detection Enhancing-Model Performance with Batch Normalization and Data Augmentation.ipynb

 
 

Saving and Loading PyTorch Models A Comprehensive.ipynb

Saving and Loading PyTorch Models A Comprehensive.ipynb

 
 

Sequential_Model_Example.ipynb

Sequential_Model_Example.ipynb

 
 

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A repository of Jupyter notebooks showcasing a range of PyTorch applications, from foundational concepts and linear regression to neural network models for image classification tasks.

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python neural-network linear-regression foundation cnn pytorch fundamentals gradient-descent pytorch-tutorial pytorch-cnn pytorch-implementation pytorch-deeplearning
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