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Add flake8-builtins to pre-commit and fix errors (#7105)

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Ignore `A003`

Co-authored-by: Christian Clauss <cclauss@me.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
This commit is contained in:
Caeden
2022-10-13 15:23:59 +01:00
committed by GitHub
parent e661b98829
commit d5a9f649b8
31 changed files with 113 additions and 106 deletions
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10
neural_network/convolution_neural_network.py
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@ -140,24 +140,24 @@ class CNN:
focus_list = np.asarray(focus1_list)
return focus_list, data_featuremap
def pooling(self, featuremaps, size_pooling, type="average_pool"):
def pooling(self, featuremaps, size_pooling, pooling_type="average_pool"):
# pooling process
size_map = len(featuremaps[0])
size_pooled = int(size_map / size_pooling)
featuremap_pooled = []
for i_map in range(len(featuremaps)):
map = featuremaps[i_map]
feature_map = featuremaps[i_map]
map_pooled = []
for i_focus in range(0, size_map, size_pooling):
for j_focus in range(0, size_map, size_pooling):
focus = map[
focus = feature_map[
i_focus : i_focus + size_pooling,
j_focus : j_focus + size_pooling,
]
if type == "average_pool":
if pooling_type == "average_pool":
# average pooling
map_pooled.append(np.average(focus))
elif type == "max_pooling":
elif pooling_type == "max_pooling":
# max pooling
map_pooled.append(np.max(focus))
map_pooled = np.asmatrix(map_pooled).reshape(size_pooled, size_pooled)