Issues
- 0
make RNN architecture
#200 opened - 1
dnn/mainを実行する際にUnicodeDecodeErrorが出る
#195 opened - 0
Rewrite datset (mnist etc...)
#192 opened - 0
解析ツールを一つのファイルにまとめる
#190 opened - 0
add kernel analysis tool
#184 opened - 6
CNN Cannot learn
#182 opened - 0
CNN calculation error
#180 opened - 1
Cannot load weight
#175 opened - 1
Cannot save weight
#173 opened - 0
normalize data
#172 opened - 0
refactor all codes
#171 opened - 0
implement adam
#169 opened - 2
<Question> How about changing file directory
#168 opened - 0
- 1
save weight and kernel of cnn
#166 opened - 1
refactor convolution layer
#165 opened - 1
implement batch training in Neural network
#164 opened - 0
Save kernel
#159 opened - 0
Use numpy convolve
#157 opened - 0
Use numpy flatten
#156 opened - 1
Add Verification data
#150 opened - 1
Add batch DNN
#149 opened - 0
Save meta data
#148 opened - 1
- 0
Add accuracy graph to analysis tool
#146 opened - 0
change var name from flag in NN
#143 opened - 0
- 0
Avoid tanh over flow
#141 opened - 2
Add batch
#140 opened - 0
Add CNN Tests
#139 opened - 0
Make Mnist16
#138 opened - 0
shuffle train and test data
#137 opened - 0
- 1
Make simple comment rule and tests
#129 opened - 0
refactor rss
#126 opened - 1
remake convolutional layer
#121 opened - 1
Use numpy.isclose() or numpy.allclose()
#119 opened - 0
Update test_activation_func.py to use numpy
#117 opened - 0
write costfunction test
#113 opened - 1
- 0
Change graph title more useful
#108 opened - 1
DNN new Archtecture
#107 opened - 0
Test Failed on main branch
#104 opened - 1
activatefunc.py don't have swithdiff()
#100 opened - 1
- 1
Change len() to numpy size or shape()
#94 opened - 0
"xor" is not working
#80 opened - 0
- 0
DNN is broken again
#76 opened - 1
Add bias for cnn
#74 opened