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BinarySandia04
2026-05-25 20:29:44 +02:00
parent 9dc29f19e4
commit b930018981
1 changed files with 4 additions and 4 deletions
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skin_cancer_classification.py
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@@ -29,9 +29,9 @@ Original file is located at
import sys import sys
IN_COLAB = 'google.colab' in sys.modules IN_COLAB = 'google.colab' in sys.modules
#if IN_COLAB: # if IN_COLAB:
# !pip install pandas numpy matplotlib seaborn pillow scikit-learn tensorflow # !pip install pandas numpy matplotlib seaborn pillow scikit-learn tensorflow
# !pip install --upgrade kagglehub[pandas-datasets,hf-datasets] # !pip install --upgrade kagglehub[pandas-datasets,hf-datasets]
import kagglehub import kagglehub
@@ -356,7 +356,7 @@ x = Dense(512, activation='relu')(x) # Added another Dense layer
x = Dense(256, activation='relu')(x) # Existing Dense layer x = Dense(256, activation='relu')(x) # Existing Dense layer
predictions = Dense(1, activation='sigmoid')(x) # Output layer for binary classification predictions = Dense(1, activation='sigmoid')(x) # Output layer for binary classification
model = Model(inputs=base_model.input, outputs=predictions) model = Model(inputs=inputs, outputs=predictions)
model.compile(optimizer=Adam(learning_rate=0.0001), loss='binary_crossentropy', metrics=['accuracy']) model.compile(optimizer=Adam(learning_rate=0.0001), loss='binary_crossentropy', metrics=['accuracy'])
"""## 4. Data Generators """## 4. Data Generators