Image Classification
Keras
English
solar-panel
defect-detection
computer-vision
deep-learning
tensorflow
transfer-learning
Instructions to use zaheerjk/Solar-Panel-Defect-Classification-Using-Deep-Learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zaheerjk/Solar-Panel-Defect-Classification-Using-Deep-Learning with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zaheerjk/Solar-Panel-Defect-Classification-Using-Deep-Learning") - Notebooks
- Google Colab
- Kaggle
.jpg)
- Xet hash:
- bf94132303cd7b71107501e245ba9ed5cb5486f96aae47589cba23d150719083
- Size of remote file:
- 471 kB
- SHA256:
- c39740af92a1777dad3fc297b544640678b26fa8f0dcc874ee547980172519a0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.