面向深度学习的 Python 面向对象教程：从实例到工程 | Python OOP for Deep Learning — 填补 D2L（不讲OOP）与 Fluent Python（不讲DL）之间的空白，从手写 nn.Module 到从零实现 Transformer
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Sep 5, 2026
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nn-module
Here are 7 public repositories matching this topic...
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Mar 7, 2026 - Jupyter Notebook
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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Apr 7, 2025 - Jupyter Notebook
NNBuilder is a lightweight, chainable utility class built on top of PyTorch’s `nn.Module`, designed to simplify the construction of sequential, fully‑connected neural networks.
python education machine-learning deep-learning neural-network pytorch rapid-prototyping feedforward-neural-network mlp builder-pattern model-builder nn-module deep-learning-tools
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May 5, 2026 - Python
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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Jul 4, 2025 - Jupyter Notebook
Two-layer neural network for MNIST digit recognition, implemented in PyTorch (nn.Module + autograd).
deep-learning neural-network pytorch autograd mnist mnist-classification handwritten-digit-recognition nn-module
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Sep 3, 2026 - Python
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Mar 4, 2026 - Jupyter Notebook
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