pyeddl
latest

User Guide

  • Installation
  • Frequently Asked Questions
  • Getting started

Model

  • Model (pyeddl.models)

Layers

  • Convolutional (pyeddl.layers.conv)
  • Core (pyeddl.layers.core)
  • Merge (pyeddl.layers.merge)
  • Pooling (pyeddl.layers.pooling)

Preprocessing

  • Losses (pyeddl.losses)
  • Metrics (pyeddl.metrics)
  • Optimizers (pyeddl.optim)
  • Datasets (pyeddl.datasets)
pyeddl
  • Docs »
  • Overview: module code

All modules for which code is available

  • pyeddl.datasets.cifar10
  • pyeddl.datasets.mnist
  • pyeddl.layers.conv.conv
  • pyeddl.layers.conv.conv_transposed
  • pyeddl.layers.core.activations
  • pyeddl.layers.core.dense
  • pyeddl.layers.core.dropout
  • pyeddl.layers.core.input
  • pyeddl.layers.core.reshape
  • pyeddl.layers.merge.add
  • pyeddl.layers.merge.concatenate
  • pyeddl.layers.pooling.avg_pooling
  • pyeddl.layers.pooling.max_pooling
  • pyeddl.losses
  • pyeddl.metrics
  • pyeddl.model
  • pyeddl.optim.sgd

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