akaigraham

/

cat-classifier

like 0

• "fastai.torch_core.TensorCategory",
• "unknown.TfmdDL",
• "unknown.BatchNorm1d",
• "fastai.losses.CrossEntropyLossFlat",
• "unknown.tuple",
• "inspect.Signature",
• "unknown._TypeDict",
• "unknown.IntToFloatTensor",
• "torch.nn.modules.dropout.Dropout",
• "unknown.TfmdLists",
• "torchvision.models.resnet.BasicBlock",
• "torch._utils._rebuild_tensor_v2",
• "fastai.optimizer.Adam",
• "unknown.AvgLoss",
• "builtins.getattr",
• "fastai.callback.progress.ProgressCallback",
• "torch.nn.modules.conv.Conv2d",
• "unknown.TensorImage",
• "pathlib.PosixPath",
• "torch.nn.modules.pooling.MaxPool2d",
• "unknown.float",
• "unknown.AvgSmoothLoss",
• "unknown.AdaptiveAvgPool2d",
• "random.Random",
• "unknown._empty",
• "unknown._rebuild_parameter",
• "unknown.LongStorage",
• "fastai.metrics.error_rate",
• "builtins.object",
• "__main__.is_cat",
• "fastcore.basics.fastuple",
• "unknown.bytes",
• "functools.partial",
• "unknown._ParameterKind",
• "unknown.Categorize",
• "fastai.data.transforms.ToTensor",
• "torch.nn.modules.linear.Linear",
• "collections.OrderedDict",
• "unknown.Normalize",
• "unknown.CastToTensor",
• "unknown.resnet34",
• "fastai.callback.core.TrainEvalCallback",
• "fastai.vision.learner._resnet_split",
• "fastai.data.load._FakeLoader",
• "unknown.AdaptiveMaxPool2d",
• "unknown.Parameter",
• "torch.nn.modules.batchnorm.BatchNorm2d",
• "unknown.CategoryMap",
• "unknown.print",
• "unknown._using_attr",
• "numpy.core.multiarray.scalar",
• "unknown.dtype",
• "fastcore.transform.Pipeline",
• "fastai.learner.Learner",
• "fastcore.dispatch.TypeDispatch",
• "unknown._wif",
• "unknown.Transform",
• "fastai.vision.core.PILImage",
• "unknown.bool",
• "torch.nn.modules.activation.ReLU",
• "unknown.str",
• "fastcore.foundation.L",
• "unknown.Datasets",
• "PIL.Image.Resampling",
• "unknown.int",
• "unknown.Flatten",
• "fastai.data.core.DataLoaders",
• "unknown.TensorBase",
• "unknown.Recorder",
• "fastai.layers.AdaptiveConcatPool2d",
• "unknown.Path",
• "fastai.imports.noop",
• "torch.nn.modules.container.Sequential",
• "unknown.device",
• "numpy.ndarray",
• "unknown.Tensor",
• "unknown._rebuild_from_type",
• "unknown.Image",
• "fastai.vision.augment.Resize",
• "torch.FloatStorage",
• "unknown.AvgMetric",
• "torch.nn.modules.loss.CrossEntropyLoss"

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