Data camp intro to Keras and Tensorflow course revision, and CIfar10, cifar100, MNIST challenges.
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Updated
Dec 16, 2020 - Jupyter Notebook
Data camp intro to Keras and Tensorflow course revision, and CIfar10, cifar100, MNIST challenges.
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
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.
Recognizes handwritten digits using Keras and convnets
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