Index

B | C | D | F | L | M | R | S | T

B

  • backward() (tinyml.layers.Conv2D method)
    • (tinyml.layers.Deconv2D method)
    • (tinyml.layers.Dropout method)
    • (tinyml.layers.Flatten method)
    • (tinyml.layers.Linear method)
    • (tinyml.layers.MaxPool2D method)
    • (tinyml.layers.ReLu method)
    • (tinyml.layers.Softmax method)

C

  • Conv2D (class in tinyml.layers)

D

  • Deconv2D (class in tinyml.layers)
  • Dropout (class in tinyml.layers)

F

  • Flatten (class in tinyml.layers)
  • forward() (tinyml.layers.Conv2D method)
    • (tinyml.layers.Deconv2D method)
    • (tinyml.layers.Dropout method)
    • (tinyml.layers.Flatten method)
    • (tinyml.layers.Linear method)
    • (tinyml.layers.MaxPool2D method)
    • (tinyml.layers.ReLu method)
    • (tinyml.layers.Softmax method)

L

  • Linear (class in tinyml.layers)

M

  • MaxPool2D (class in tinyml.layers)
  • module
    • tinyml.layers
    • tinyml.losses
    • tinyml.net
    • tinyml.optims
  • mse_loss() (in module tinyml.losses)

R

  • ReLu (class in tinyml.layers)

S

  • Sequential (class in tinyml.net)
  • SGDOptimizer (class in tinyml.optims)
  • Softmax (class in tinyml.layers)

T

  • tinyml.layers
    • module
  • tinyml.losses
    • module
  • tinyml.net
    • module
  • tinyml.optims
    • module

tinyml

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Contents:

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  • Preliminaries
  • Notations
  • Theoretical Induction
  • Examples
  • API Reference

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