A collection of PyTorch basics and experiments covering tensors, autograd, and neural network components. Ideal for beginners exploring deep learning with hands-on examples.
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Updated
Jul 4, 2025 - Jupyter Notebook
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nn-module
Here are 2 public repositories matching this topic...
Binary classification of breast cancer using PyTorch. Used StandardScaler, LabelEncoder, Dataset, DataLoader, custom nn.Module model, BCELoss, and SGD. Focused on implementing a complete training pipeline, not optimizing accuracy.
deep-learning pytorch dataset classification preprocessing binary-classification breast-cancer sigmoid-function machine-learing standardscaler labelencoder ai-healthcare bcelosses nn-module
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Updated
Apr 7, 2025 - Jupyter Notebook
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