[pre-commit.ci] pre-commit autoupdate (#11380)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.3.7 → v0.4.1](https://github.com/astral-sh/ruff-pre-commit/compare/v0.3.7...v0.4.1)
- [github.com/tox-dev/pyproject-fmt: 1.7.0 → 1.8.0](https://github.com/tox-dev/pyproject-fmt/compare/1.7.0...1.8.0)

* from keras import layers, models

* Update lstm_prediction.py

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>

.pre-commit-config.yaml

@@ -16,7 +16,7 @@ repos:
       - id: auto-walrus
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.3.7
+    rev: v0.4.1
     hooks:
       - id: ruff
       - id: ruff-format
@@ -29,7 +29,7 @@ repos:
           - tomli
 
   - repo: https://github.com/tox-dev/pyproject-fmt
-    rev: "1.7.0"
+    rev: "1.8.0"
     hooks:
       - id: pyproject-fmt
 

computer_vision/cnn_classification.py

@@ -25,7 +25,7 @@ import numpy as np
 
 # Importing the Keras libraries and packages
 import tensorflow as tf
-from tensorflow.keras import layers, models
+from keras import layers, models
 
 if __name__ == "__main__":
     # Initialising the CNN

machine_learning/lstm/lstm_prediction.py

@@ -7,9 +7,9 @@ An LSTM is a type of Recurrent Neural Network (RNN) as discussed at:
 
 import numpy as np
 import pandas as pd
+from keras.layers import LSTM, Dense
+from keras.models import Sequential
 from sklearn.preprocessing import MinMaxScaler
-from tensorflow.keras.layers import LSTM, Dense
-from tensorflow.keras.models import Sequential
 
 if __name__ == "__main__":
     """