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Commits on Apr 27, 2019

• Add scripts to test the models with a smaller data set

  

  Valente Ramirez

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• load_data : implemented option to only load some percentage of total dataset

  

  Valente Ramirez

  committed
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Commits on Mar 26, 2019

• Number of minibatches: use integer division '//'

  

  Valente Ramirez

  committed
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• Minor modifications

  

  Valente Ramirez

  committed
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• Replace n_out --> n_in as the sd of random weight initialization for fully connected network

  

  Valente Ramirez

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• Applied py-autopep

  

  Valente Ramirez

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Commits on Mar 25, 2019

• Update naming conventions of 'input_shape' and 'conv2d'. Update path to data

  

  Valente Ramirez

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Commits on Mar 9, 2019

• Included ``positive_weight_initializer`` to try to decrease the number of dead neurons when using ReLU.

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  Valente Ramirez

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• Introduced learning schedule: 8 cycles halving the learning rate if no improvement in 10 epochs

  

  Valente Ramirez

  committed
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• Introduced function end_of_training_analysis to repeat myself less

  

  Valente Ramirez

  committed
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Commits on Mar 8, 2019

• Implemented rectified linear units and tanh units : must me implemented with the quadratic cost function

  

  Valente Ramirez

  committed
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• Defined functions for reLU and tanh:

  

  Valente Ramirez

  committed
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• Replace len(data_inputs) by data_inputs.shape[1]

  

  Valente Ramirez

  committed
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• Implemented vectorization for ``total_cost`` computation.

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  Valente Ramirez

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Commits on Mar 7, 2019

• Bug in ``total_cost`` fixed

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  Valente Ramirez

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• Small changes, but noticed that the cost isn't decreasing with epochs, so there's an error in the implementation!

  

  Valente Ramirez

  committed
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Commits on Mar 6, 2019

• For final analysis, compute cost funtion with lmbda=0

  

  Valente Ramirez

  committed
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• Always compute costs and accuracy at the end of training

  

  Valente Ramirez

  committed
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Commits on Mar 4, 2019

• Minor stylistic changes

  

  Valente Ramirez

  committed
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• network2 > autopep

  

  Valente Ramirez

  committed
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• Implemented vectorization

  

  Valente Ramirez

  committed
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Commits on Mar 3, 2019

• np.dot --> np.matmul

  

  Valente Ramirez

  committed
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Commits on Feb 21, 2019

• Cleaned debug commands

  

  Valente Ramirez

  committed
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• Algorithm is now working!

  

  Valente Ramirez

  committed
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• Implemented vectorization. The script runs but it isn't computing correctly

  

  Valente Ramirez

  committed
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Commits on Feb 20, 2019

• Autopep and fix path to data

  

  Valente Ramirez

  committed
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• Restructure directory

  

  Valente Ramirez

  committed
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Commits on Apr 19, 2018

• Merge pull request #11 from dgcampbe/patch-1

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  MichalDanielDobrzanski

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Commits on Mar 2, 2018

• Add str() to variables being printed

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  Dane

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• Small update for Python 3

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  Dane

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Commits on Aug 28, 2017

• Merge pull request #2 from pa-m/master

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  MichalDanielDobrzanski

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Commits on Apr 4, 2017

• Avoid ImportError: cannot import name 'downsample'

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  pa-m

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Commits on Feb 9, 2017

• Merge pull request #1 from anandman/master

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  MichalDanielDobrzanski

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Commits on Feb 4, 2017

• updated for Python 3.5.2

  anandman

  committed
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Commits on Oct 23, 2016

• Update README.md

  MichalDanielDobrzanski

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