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TF-Backend/GUI-Mode/Style
Weights/Shuffle/Resize
FCNN/LeNet/AlexNet, Batch-Plot
Log
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🇬🇧
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def write_file_for_tfjs (name, data):
with open(name + '.txt', 'w') as outfile:
outfile.write('# shape: {0}\n'.format(data.shape))
for data_slice in data:
np.savetxt(outfile, data_slice)
outfile.write('# New slice\n')
write_file_for_tfjs("x", x_train) # Writes x.txt with x-data
write_file_for_tfjs("y", y_train) # Writes y.txt with y-data
:
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x = \textrm{Input Image}
x* = \textrm{Generated image}
W = \textrm{Weights}
b = \textrm{Bias}
f(\textbf{x}; \textbf{W}, b) = \textrm{Activation function of neuron}
\textbf{x}* = \mathrm{argmax}_xf(\textbf{x}; \textbf{W}, b)
| Number of decimal points (0 = no limit) |
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