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18thMARCH2017

SNIPPET

An example of fine-tuning an auto-encoder for classification. The example demonstrates how arbitrary modules can easily be extended to fix the weights and/or biases after loading a model. Additionally it shows how weights and biases can manually be copied between models with a different structure.

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14thMARCH2017

SNIPPET

Minimal example of defining a custom Torch module on a custom data structure. This example defines a simple data structure wrapping two Torch tensors and defines a linear nn.Module to operate on this data structure. While the backward pass is not implemented, the example illustrates how Torch can be extended for deep learning on custom data structures.

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11thMARCH2017

SNIPPET

A simple custom abs-criterion in Torch extending nn.Criterion.

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MORE

SNIPPETS

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  • Example of Fine-Tuning in Torch   Details
  • Defining Torch Modules on Custom Data Structures   Details
  • Custom Abs Criterion in Torch   Details
  • Manual Weight and Bias Initialization in Torch   Details
  • Convolutional Auto-Encoder using Torch’s optim Package   Details
  • GPU-Accelerated Auto-Encoder using Torch’s optim Package   Details
  • Auto-Encoder using Torch’s optim Package   Details
  • Torch Auto-Encoder Example   Details
  • GPU-Accelerated Auto-Encoder Implemented in Torch   Details
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  • Alternative to tf.nn.moments Running on GPU   Details
  • Creating the Double Type and Double Operations in Theano   Details
  • Simple Example of Adding a Linear Module to PyTorch   Details
  • Add a New Tensorflow Operation using C++ and Bazel Inside Tensorflow   Details
  • Simple CSV I/O in Python   Details
  • Read/Write LMDBs for Caffe with Python   Details
  • Version Compare in Python   Details
  • Simple Example of Adding a Linear Module to PyTorch   Details
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  • Alternative to tf.nn.moments Running on GPU   Details
  • Add a New Tensorflow Operation using C++ and Bazel Inside Tensorflow   Details
  • Creating the Double Type and Double Operations in Theano   Details
  • Example of Fine-Tuning in Torch   Details
  • Defining Torch Modules on Custom Data Structures   Details
  • Custom Abs Criterion in Torch   Details
  • Manual Weight and Bias Initialization in Torch   Details
  • Convolutional Auto-Encoder using Torch’s optim Package   Details
  • GPU-Accelerated Auto-Encoder using Torch’s optim Package   Details
  • Auto-Encoder using Torch’s optim Package   Details
  • Torch Auto-Encoder Example   Details
  • GPU-Accelerated Auto-Encoder Implemented in Torch   Details
  • Simple Auto-Encoder Example in Torch Using the nn.StochasticGradient Trainer   Details
  • Exclude Specific Categories on the Home Page in WordPress   Details
  • Avoid HTML Entities within pre Tags in WordPress   Details
  • Exclude Pages from WordPress’ Search   Details
  • Anti-Spambot Mail Protection in WordPress   Details