sstegmueller funcnet issues - Githubissues

sstegmueller / funcnet

Artificial Neural Network implemented in Haskell

BSD 3-Clause "New" or "Revised" License

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Refactor composition function in network module

#15 sstegmueller opened 4 years ago
0
Fix softmax derivative with using jacobian

#14 sstegmueller opened 4 years ago
1
Implement CrossEntropyLoss

#13 sstegmueller closed 4 years ago
1
Implement vectors instead of lists for Linalg module to improve performance

#12 sstegmueller closed 4 years ago
1
MNIST example outputs NaN loss

#11 sstegmueller closed 4 years ago
1
Shuffeling data for stochastic gradient descent

#10 sstegmueller closed 4 years ago
1
Trace performance issues with MNIST example

#9 sstegmueller closed 4 years ago
1
Numerical gradients to check correctness

#8 sstegmueller opened 4 years ago
0
MNIST example

#7 sstegmueller closed 4 years ago
1
Fix runtime error for training implementation

#6 sstegmueller closed 4 years ago
3
Introduce Vector type and refactor relevant code

#5 sstegmueller opened 4 years ago
0
Use lens to filter dense layers from nested network record

#4 sstegmueller opened 4 years ago
0
Collecting loss information for printing

#3 sstegmueller closed 4 years ago
0
Implement different gradient descent optimization techniques

#2 sstegmueller opened 4 years ago
0
Add Logging to the training process

#1 sstegmueller closed 4 years ago
2