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Releases: itdxer/neupy

v0.8.2

04 Apr 19:44
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Main changes:

  • Improved functionality for layer/network copying
  • Added repeat function
  • Fixed output shape for the conv layers when input is unknown
  • Typo fixes

v0.8.1

30 Mar 20:04
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Main changes:

  • Added Tensorflow 1.13 support
  • Added DropBlock layer
  • Added define method for all layers

v0.8.0

28 Jan 19:47
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Main changes:

  • New design for the layer graphs and layers
  • Changed inline operators > (still supported) to >> and lists to| operator for parallel connections
  • Added 2 new step decay algorithms, namely exponential_decay and polynomial_decay
  • New regularizers
  • New signals functionality, can be extended with classes (signals attribute)
  • Tensorflow optimizers are used instead of self-implemented functions
  • Added GroupNorm layer
  • Changed behavior for the the predict methods
  • Added show method to the networks
  • Added plot_errors for the optimizers with better and more accurate visualizations

Small changes:

  • The error parameters for optimizers was renamed to loss
  • Changed summary format in the logs
  • Removed training_errors and validation_errors and it were replaced with new errors attribute
  • Renamed the prediction_error method to score

Misc:

  • Big code refactoring
  • Better exceptions

Removed

  • Add-ons were removed
  • Tuple of integer as network configuration
  • Removed RBFKmeans
  • Removed train_end_signal and epoch_end_signal
  • Removed plots.error_plot function
  • Removed plots.network_structure function

v0.7.3

17 Jan 09:26
17dc31e
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  • Fixed problem that occurred when GNG was loaded from pickled file. Issue #229
  • Improved representation for the GNG graph elements
  • Added extra exceptions into GNG graph methods in order to get informative fail when unexpected action was applied

v0.7.2

13 Dec 16:40
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Changes:

  • Added missing dilation rates for ResNet-50 architecture
  • Fixed fan computation for weight initializers
  • Added variable initializer in the predict method
  • Change XavierNormal to HeNormal default initializer

v0.7.1

10 Dec 15:01
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Changes:

  • Speed up network initialization via lazy parameter initialization using tensorflow's tensors instead numpy's arrays
  • Global pooling layer accepts two string arguments that point to different tensorflow functions.
  • Fixes for the reshape layer when used with unknown input shape
  • Fixed cross entropy loss functions for spatial inputs
  • Removed input blocker during the training
  • Combined GradientDescent and MinibatchGradientDescent into one class GradientDescent

v0.7.0

02 Dec 20:21
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Changes:

  • Backend was moved to Tensorflow
  • Pickle storage for the weights has been replaced with HDF5
  • Changed order of the dimensions for the convolutional filter (channel expected to be in the last dimension)
  • The compile method was removed
  • Added wolfe search to conjugate gradient
  • Fixes for the training algorithms

Removed:

  • Linear models
  • Quickprop training algorithm
  • Ensemble algorithms

v0.6.5

12 Oct 13:23
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Bugs:

  • Fixed iterative updates for discrete hopfield networks: #218

v0.6.4

26 Mar 06:56
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Features:

  • Added Growing Neural Gas (GNG) algorithm
  • Added 2 new improvements to the base GNG algorithms

Bug:

  • Set up default value for epoch_time in order to prevent crashes when training was stopped on first iteration.

v0.6.3

03 Feb 18:58
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Fixes:

  • Use old table-style, otherwise table breaks for some of the font styles and it doesn't look good in ipython notebook
  • Adam optimizer fix for GPU (#200)