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EaZyGrad 0.0.1 documentation
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EaZyGrad 0.0.1 documentation

Contents:

  • Learn
    • Automatic differentiation made EaZy
  • API Reference
    • eazygrad
      • Tensor Object
      • eazygrad.tensor
      • eazygrad.from_numpy
      • eazygrad.randn
      • eazygrad.uniform
      • eazygrad.ones
      • eazygrad.zeros
      • eazygrad.SGD
      • eazygrad.Adam
      • eazygrad.AdamW
      • eazygrad.no_grad
      • eazygrad.no_grad_ctx
      • Tensor Object
      • eazygrad.tensor
      • eazygrad.from_numpy
      • eazygrad.randn
      • eazygrad.uniform
      • eazygrad.ones
      • eazygrad.zeros
      • eazygrad.SGD
      • eazygrad.Adam
      • eazygrad.AdamW
      • eazygrad.no_grad
      • eazygrad.no_grad_ctx
    • eazygrad.functions
      • eazygrad.relu
      • eazygrad.sigmoid
      • eazygrad.tanh
      • eazygrad.min
      • eazygrad.exp
      • eazygrad.log
      • eazygrad.cos
      • eazygrad.sin
      • eazygrad.clip
      • eazygrad.logsumexp
      • eazygrad.softmax
      • eazygrad.log_softmax
      • eazygrad.mse_loss
      • eazygrad.nll_loss
      • eazygrad.bce_with_logits_loss
      • eazygrad.bce_loss
      • eazygrad.cross_entropy_loss
      • eazygrad.relu
      • eazygrad.sigmoid
      • eazygrad.tanh
      • eazygrad.min
      • eazygrad.exp
      • eazygrad.log
      • eazygrad.cos
      • eazygrad.sin
      • eazygrad.clip
      • eazygrad.logsumexp
      • eazygrad.softmax
      • eazygrad.log_softmax
      • eazygrad.mse_loss
      • eazygrad.nll_loss
      • eazygrad.bce_with_logits_loss
      • eazygrad.bce_loss
      • eazygrad.cross_entropy_loss
    • eazygrad.nn
      • eazygrad.nn.Module
      • eazygrad.nn.ModuleList
      • eazygrad.nn.Linear
      • eazygrad.nn.Module
      • eazygrad.nn.ModuleList
      • eazygrad.nn.Linear
    • eazygrad.data
      • eazygrad.data.MNISTDataset
      • eazygrad.data.dataloader.Dataloader
      • eazygrad.data.MNISTDataset
      • eazygrad.data.dataloader.Dataloader
    • eazygrad.grad
      • eazygrad.grad.computation_graph.ComputationGraph
      • eazygrad.grad.computation_graph.ComputationGraph
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eazygrad.data¶

Datasets and Loading¶

MNISTDataset

dataloader.Dataloader

Very simple dataloader with no multiprocessing (mostly for MNIST which is already loaded in RAM)
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eazygrad.data.MNISTDataset
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    • Datasets and Loading