This is a repository for the capstone project going on in Udacity. The project received data from Statoil/C-CORE Iceberg Classifier Challenge at the Kaggle Competitoin. The project goal is to distinguish between iceberg and ship from SAR image data from satellites. For this, deep learning will be conducted using CNN model.

• Python 3.54
• Jupyter Notebook
• Tensorflow
• Keras
• Numpy
• Matplotlib

The datasets are hosted in a Kaggle competition. Please download data from the link provided.

This following link contains both train(train.json.7z) and test(test.json.7z) data. https://www.kaggle.com/c/statoil-iceberg-classifier-challenge/data

• Exploratory Visualization
  • 3D Images
    • Model_00
  • Global Image Stats
    • Explore_Image_Stats
  • Correlations Between Features
    • Explore_Image_Stats
• Image Processing
  • Sample_Images
• Benchmark CNN Model
  • Model_00
• Improved CNN Model
  • Model_01
• VGG16 CNN Model
  • K=3
    • Model_03-SGD-k=3
  • K=5
    • Model_03-SGD-k=5
  • K=7
    • Model_03-SGD-k=7
  • K=10 (Final CNN Model)
    • Model_03-SGD-k=10

• VGG16 CNN Model
  • Final Classifier Model
    • Model_03-Adam-k=10_amsgrad-0001-15p