Data camp intro to Keras and Tensorflow course revision, and CIfar10, cifar100, MNIST challenges.
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Dec 16, 2020 - Jupyter Notebook
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tensorflowkeras
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比较简单的3D-CNN实现，值得初学者学习。但是缺少它原生的数据集，不能感受到是如何实现
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May 17, 2019 - Python
The k-nearest neighbors (KNN) algorithm is a simple, supervised machine learning algorithm that can be used to solve both classification and regression problems.
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Oct 7, 2025 - Jupyter Notebook
Jupyter notebooks on custom loss functions in TensorFlow/Keras: modified MSE penalizing overconfidence and Categorical Focal Loss with L1/L2 regularization for imbalanced multi-class tasks (e.g., cats_vs_dogs). Includes model building, preprocessing, GPU checks, and focuses on learning mechanics over metrics.
python benchmark deep-learning custom interactive tensorflow numpy keras cnn classification regularization adam cross-entropy loss focal categorical custom-logs tensorflowkeras low-level-api-tensorflow
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Aug 17, 2025 - Jupyter Notebook
python nlp qlearning ai deep-learning tensorflow regression cnn nltk minimax propositional-logic harvardx knowledgebase-agents tensorflowkeras scikitlearn bayesianneuralnetwork cs50ai2024
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Jan 23, 2026 - Python
Recognizes handwritten digits using Keras and convnets
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Jun 28, 2020 - Jupyter Notebook
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