The math inside PyTorch's engine — how linear algebra, calculus & optimization drive torch.autograd, torch.nn, and torch.optim. GHC 2025 talk materials.
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Nov 27, 2025
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pytorch-deep-learning
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This project implements the classical LeNet-5 CNN for MNIST digit classification using PyTorch. It covers a complete pipeline from data preprocessing to deployment. The model achieves ~98.8% test accuracy, showing the strong effectiveness of early CNN architectures for image classification.
convolutional-neural-networks pooling-layers stochastic-gradient-descent model-deployment learning-rate-scheduling model-generalization pytorch-deep-learning confusion-matrix-analysis real-time-inference overfitting-analysis mnist-digit-classification end-to-end-ml-pipeline lenet5-cnn feature-extraction-cnn hierarchical-feature-learning activation-functions-analysis tanh-vs-relu batch-size-generalization cnn-regularization class-wise-performance
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Apr 27, 2026 - Jupyter Notebook
A comprehensive repository covering the fundamentals to advanced concepts of building, training, and optimizing neural networks using PyTorch, including practical implementations for computer vision, NLP, and modern AI techniques.
python pytorch pytorch-tutorial pytorch-tutorials pytorch-gan pytorch-cnn pytorch-nlp pytorch-implementation pytorch-deeplearning pytorch-practice pytorch-deep-learning
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Apr 11, 2026 - Python
This is a repository that records the experiment and training process from deep learning model design to optimization.
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Mar 30, 2026 - Jupyter Notebook
Zero to Mastery ML/DL/DS courses by Daniel Bourke
data-science machine-learning deep-learning tensorflow pytorch tensorflow-deep-learning zero-to-mastery-ml pytorch-deep-learning
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Feb 4, 2024 - Jupyter Notebook
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