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nkhimin

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pet_classifier

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• "torch.nn.modules.activation.ReLU",
• "torch.nn.modules.container.Sequential",
• "fastai.data.core.Datasets",
• "fastai.data.transforms.ToTensor",
• "__builtin__.long",
• "fastcore.dispatch.TypeDispatch",
• "numpy.core.multiarray.scalar",
• "torch.nn.modules.linear.Linear",
• "torchvision.models.resnet.resnet18",
• "fastai.imports.noop",
• "inspect._empty",
• "fastcore.basics._using_attr",
• "fastai.learner.AvgMetric",
• "__builtin__.object",
• "fastai.layers.AdaptiveConcatPool2d",
• "fastai.vision.core.PILImage",
• "fastai.learner.AvgSmoothLoss",
• "_codecs.encode",
• "fastai.vision.learner._resnet_split",
• "fastai.data.core.TfmdLists",
• "fastcore.dispatch._TypeDict",
• "torch.device",
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• "fastai.learner.Recorder",
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• "numpy.ndarray",
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• "__builtin__.bool",
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• "torch.nn.modules.batchnorm.BatchNorm2d",
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• "torch.nn.modules.pooling.AdaptiveAvgPool2d",
• "PIL.Image.Image",
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• "PIL.Image.Resampling",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.data.transforms.CategoryMap",
• "torch.nn.modules.pooling.AdaptiveMaxPool2d",
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• "functools.partial",
• "__main__.is_cat",
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• "inspect.Parameter",
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• "numpy.dtype",
• "__builtin__.bytes",
• "fastcore.transform.Pipeline",
• "fastai.metrics.error_rate",
• "torch.nn.modules.dropout.Dropout",
• "random.Random",
• "fastai.learner.AvgLoss",
• "fastai.data.transforms.Categorize",
• "torch._utils._rebuild_tensor_v2",
• "fastai.learner.CastToTensor",
• "fastcore.transform.Transform",
• "fastai.torch_core.TensorImage",
• "torch.nn.modules.batchnorm.BatchNorm1d"

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