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regularization-dropout

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ArtZaragozaGitHub / NN--P4_Predicting_Customers_Likely_to_Abandon_Bank_Services

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Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers

tensorflow nn eda batch-normalization keras-classification-models adam-optimizer model-training numpy-library pandas-library model-tuning sgd-optimizer regularization-methods normalization-techniques model-optimization matplotlib-library regularization-dropout seaborn-library
  • Updated Feb 21, 2025
  • Jupyter Notebook

ImenChraiet / pneumonia-classification-cnn-from-scratch

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Pneumonia classification from chest X-ray images using a Convolutional Neural Network (CNN) built entirely from scratch layer by layer, without using any pretrained models +Canvas Tutorial presentation below for a thorough explanation and justifications for every parameter choices :

keras-tutorials regularization optimization-algorithms loss-functions continuous-optimization non-convex-optimization batchnormalization optimizers tutorial-project loss-landscape regularization-dropout regularization-to-avoid-overfitting class-imbalance-handling from-scratch-implementation canvas-presentation moving-target-problem multi-level-regularization cnn-custom-architecture fixed-learning-rate-optimizers adaptive-learning-rate-optimizers
  • Updated Oct 10, 2026
  • Jupyter Notebook

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