Image Classification
Keras
English
computer-vision
satellite-imagery
remote-sensing
xview
cnn
inception
tensorflow
trained-from-scratch
Instructions to use MelenL/Custom_Inception_Style_CNN_for_Satellite_Image_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MelenL/Custom_Inception_Style_CNN_for_Satellite_Image_Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://MelenL/Custom_Inception_Style_CNN_for_Satellite_Image_Classification") - Notebooks
- Google Colab
- Kaggle
Download CNN Best model.ipynb from MelenL/Custom_Inception_Style_CNN_for_Satellite_Image_Classification: direct link, hf CLI and curl.
- Browser
- Download file 1.11 MB
-
https://huggingface.co/MelenL/Custom_Inception_Style_CNN_for_Satellite_Image_Classification/resolve/main/CNN%20Best%20model.ipynb
- Command line
-
hf download 'hf://MelenL/Custom_Inception_Style_CNN_for_Satellite_Image_Classification/CNN Best model.ipynb'
-
curl -L -o 'CNN Best model.ipynb' https://huggingface.co/MelenL/Custom_Inception_Style_CNN_for_Satellite_Image_Classification/resolve/main/CNN%20Best%20model.ipynb
1.11 MB