saimadhu-polamuri
/ dataaspirant-handle-overfitting-deep-learning-Regularization-model-train-test-error.py
Created
August 24, 2020 05:12
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| ## Regularization applyied model train and test error | |
| plt.plot(history.history['loss'], label='train') | |
| plt.plot(history.history['val_loss'], label='test') | |
| plt.legend() | |
| plt.show() |
saimadhu-polamuri
/ dataaspirant-handle-overfitting-deep-learning-Dropout-model.py
Created
August 24, 2020 05:22
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| ## Model with Dropout | |
| from tensorflow.keras.layers import Dropout | |
| model = Sequential() | |
| model.add(Dense(500, input_dim=2, activation='relu')) | |
| model.add(Dropout(0.5)) | |
| model.add(Dense(128, activation='relu')) | |
| model.add(Dropout(0.25)) | |
| model.add(Dense(1, activation='sigmoid')) | |
| model.compile(loss='binary_crossentropy', |
saimadhu-polamuri
/ dataaspirant-handle-overfitting-deep-learning-Dropout-model-train-test-error.py
Created
August 24, 2020 05:24
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| ## Dropout applyied model train and test error | |
| plt.plot(history.history['loss'], label='train') | |
| plt.plot(history.history['val_loss'], label='test') | |
| plt.legend() | |
| plt.show() |
saimadhu-polamuri
/ dataaspirant-handle-overfitting-data-augmentation.py
Created
August 24, 2020 05:47
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| ## Data augmentation code | |
| from keras.preprocessing.image import ImageDataGenerator | |
| aug = ImageDataGenerator( | |
| rotation_range=20, | |
| zoom_range=0.15, | |
| width_shift_range=0.2, | |
| height_shift_range=0.2, | |
| shear_range=0.15, |
saimadhu-polamuri
/ dataaspirant-handle-overfitting-deep-learning-EarlyStopping-model.py
Created
August 24, 2020 05:58
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| ## EarlyStopping with keras | |
| from tensorflow.keras.callbacks import EarlyStopping | |
| model = Sequential() | |
| model.add(Dense(128, input_dim=2, activation='relu')) | |
| model.add(Dense(1, activation='sigmoid')) | |
| model.compile(loss='binary_crossentropy', | |
| optimizer='adam', | |
| metrics=['accuracy']) |
saimadhu-polamuri
/ dataaspirant-handle-overfitting-deep-learning-EarlyStopping-model-train-test-error.py
Created
August 24, 2020 06:41
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| ## EarlyStopping applyied model train and test error | |
| plt.plot(history.history['loss'], label='train') | |
| plt.plot(history.history['val_loss'], label='test') | |
| plt.legend() | |
| plt.show() |
saimadhu-polamuri
/ dataaspirant-handle-overfitting-deep-learning.py
Created
August 24, 2020 08:19
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| """ | |
| =============================================== | |
| Objective: 4 different techniques to handle overfitting in deep learning models | |
| Author: Jaiganesh Nagidi | |
| Blog: https://dataaspirant.com | |
| Date: 2020-08-23 | |
| =============================================== | |
| """ |
saimadhu-polamuri
/ dataaspirant-data-augmentation-load-image.py
Created
August 31, 2020 03:56
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| # Reading the image | |
| import matplotlib.image as mpimg | |
| image = mpimg.imread('catimage.jpg') |
saimadhu-polamuri
/ dataaspirant-data-augmentation-reshape-image.py
Created
August 31, 2020 03:58
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| # Reshape Image | |
| import numpy as np | |
| image = np.expand_dims(image, axis=0) |
saimadhu-polamuri
/ dataaspirant-data-augmentation-imagedatagenerator-instance.py
Created
August 31, 2020 03:59
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| # ImageDataGenerator Instance creation | |
| from keras.preprocessing.image import ImageDataGenerator | |
| datagen = ImageDataGenerator() |