Skip to content
#

regularization-dropout

Star

Here are 4 public repositories matching this topic...

ArtZaragozaGitHub / NN--P4_Predicting_Customers_Likely_to_Abandon_Bank_Services

Star 1

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

Star 0

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. You can check the Canvas 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

Add this topic to your repo

To associate your repository with the regularization-dropout topic, visit your repo's landing page and select "manage topics."

Learn more