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notkshitij f497756963 add answers for may-june 2025 + november-december 2025 pyqs for unit 6 (Reinforcement Learning) 2026-05-26 00:58:41 +05:30
notkshitij 0a597c5917 add answers for may-june 2025 + november-december 2025 pyqs for unit 5 (Deep Generative Models) 2026-05-26 00:51:39 +05:30
notkshitij 03baa08d8a add answers for may-june 2025 + november-december 2025 pyqs for unit 4 (Recurrent Neural Network) 2026-05-26 00:38:48 +05:30
notkshitij 2a71605050 add answers for may-june 2025 + november-december 2025 pyqs for unit 3 (Convolution Neural Network) 2026-05-26 00:38:21 +05:30
notkshitij 702fe6cda6 add may-june 2025 + november-december 2025 pyqs for end-sem. 2026-05-25 23:19:28 +05:30
notkshitij fc477ab15b add link for end-sem pyq answers in README. 2026-05-21 20:45:05 +05:30
notkshitij 628d9f171e add end-sem pyq answers for unit 6 (Reinforcement Learning) 2026-05-21 20:44:23 +05:30
notkshitij 6b81388d0e add end-sem pyq answers for unit 5 (Deep Generative Models) 2026-05-21 20:42:56 +05:30
notkshitij 7bb921a482 add end-sem pyq answers for unit 4 (Recurrent Neural Network) 2026-05-21 20:41:14 +05:30
notkshitij 6135de00dd add end-sem pyq answers for unit 3 (Convolution Neural Network) 2026-05-21 20:34:24 +05:30
notkshitij 8489b2d5aa add end-sem pyqs for DL (may june 2023, nov-dec 2023, may-june 2024) 2026-05-15 01:41:24 +05:30
notkshitij 3f6ece863d chore: add single line of comment above local data loading lines of code @ practical 3b. 2026-05-04 16:35:07 +05:30
11 changed files with 3 additions and 0 deletions
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@@ -38,6 +38,7 @@ from sklearn.metrics import confusion_matrix, classification_report
# Fashion MNIST is built into Keras, downloads automatically on first run # Fashion MNIST is built into Keras, downloads automatically on first run
(X_train, y_train), (X_test, y_test) = tf.keras.datasets.fashion_mnist.load_data() (X_train, y_train), (X_test, y_test) = tf.keras.datasets.fashion_mnist.load_data()
# --- Offline alternative (comment out tf.keras line above and use this instead) ---
# import pandas as pd # import pandas as pd
# train_df = pd.read_csv('fashion-mnist_train.csv') # train_df = pd.read_csv('fashion-mnist_train.csv')
# test_df = pd.read_csv('fashion-mnist_test.csv') # 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
### [IN-SEM PYQ Answers](Notes/IN-SEM%20PYQ%20Answers/) ### [IN-SEM PYQ Answers](Notes/IN-SEM%20PYQ%20Answers/)
### [END-SEM PYQ Answers](Notes/END-SEM%20PYQ%20Answers/)
### [Question Bank](DL%20-%20Question%20Bank.pdf) ### [Question Bank](DL%20-%20Question%20Bank.pdf)
--- ---