ugm2 Deep-Learning-Workshop issues - Githubissues

ugm2 / Deep-Learning-Workshop

Implementation of some of the main Deep Learning Algorithms with some examples

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Add and abstract parameters initialisation methods

#16 ugm2 closed 3 years ago
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Adds tests

#15 ugm2 closed 3 years ago
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Generalise Metrics functions

#14 ugm2 opened 3 years ago
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Activation Functions Abstraction

#13 ugm2 closed 3 years ago
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Explore adding cross-validation to the stack

#12 ugm2 opened 3 years ago
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Implement Neural Network using Tensorflow

#11 ugm2 opened 3 years ago
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Implement normalising methods

#10 ugm2 opened 3 years ago
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Implement optimisation algorithms

#9 ugm2 opened 3 years ago
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Implement Regularisation methods

#8 ugm2 opened 3 years ago
1
Create different initialisation methods

#7 ugm2 closed 3 years ago
1
Abstract activation functions

#6 ugm2 closed 3 years ago
1
Fix exploding gradient in multi class neural network

#5 ugm2 opened 3 years ago
0
Include tests for each of the algorithms

#4 ugm2 closed 3 years ago
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Adds multiple layer Neural Network

#3 ugm2 closed 3 years ago
1
Feature/logistic regression libraries

#2 ugm2 closed 3 years ago
0
Feature/logistic regression

#1 ugm2 closed 3 years ago
0