educational-material

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AmbarChatterjee / FDS_HW2
Interactive exploration of logistic regression, multinomial classification, and transfer learning using Python and Jupyter Notebooks in the context of data science education.
cifar-10 data-science educational-material gradient-ascent jupyter-notebook logistic-regression machine-learning python transfer-learning multinomial-classification
Language:Jupyter Notebook 0
farukulutas / EEE443
Course materials, tutorials, and project works from the Neural Networks (EEE443) course at Bilkent University.
autoencoder bilkent-university coursework deep-learning gans gru lstm natural-language-processing neural-networks recurrent-neural-networks text-to-image-synthesis educational-material eee443
Language:Jupyter Notebook 0