Dog vs Cat Image Classification with FastAI CNN

Training is based in FastAI Quick Start. Example training

Training

The model was trained as follows

path = untar_data(URLs.PETS)/'images'

def is_cat(x): return x[0].isupper()
dls = ImageDataLoaders.from_name_func(
    path, get_image_files(path), valid_pct=0.2, seed=42,
    label_func=is_cat, item_tfms=Resize(224))

learn = cnn_learner(dls, resnet34, metrics=error_rate)
learn.fine_tune(1)
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Inference Examples
Inference API (serverless) does not yet support generic models for this pipeline type.