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@@ -38,6 +38,7 @@ from sklearn.metrics import confusion_matrix, classification_report
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# Fashion MNIST is built into Keras, downloads automatically on first run
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# Fashion MNIST is built into Keras, downloads automatically on first run
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(X_train, y_train), (X_test, y_test) = tf.keras.datasets.fashion_mnist.load_data()
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(X_train, y_train), (X_test, y_test) = tf.keras.datasets.fashion_mnist.load_data()
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# --- Offline alternative (comment out tf.keras line above and use this instead) ---
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# import pandas as pd
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# import pandas as pd
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# train_df = pd.read_csv('fashion-mnist_train.csv')
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# train_df = pd.read_csv('fashion-mnist_train.csv')
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# test_df = pd.read_csv('fashion-mnist_test.csv')
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# test_df = pd.read_csv('fashion-mnist_test.csv')
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@@ -59,6 +59,8 @@ This repository gathers comprehensive material for the SPPU Computer Engineering
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### [IN-SEM PYQ Answers](Notes/IN-SEM%20PYQ%20Answers/)
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### [IN-SEM PYQ Answers](Notes/IN-SEM%20PYQ%20Answers/)
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### [END-SEM PYQ Answers](Notes/END-SEM%20PYQ%20Answers/)
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### [Question Bank](DL%20-%20Question%20Bank.pdf)
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### [Question Bank](DL%20-%20Question%20Bank.pdf)
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---
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---
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