Изменил(а) на 'labworks/LW4/readme.md'

labworks/LW4/readme.md

@@ -98,6 +98,7 @@ MIN Len:  500
 print(X_train[27])
 print('len:',len(X_train[27]))
 ```
+```
 [   0    0    0    0    0    0    0    0    0    0    0    0    0    0
     0    0    0    0    0    0    0    0    0    0    0    0    0    0
     0    0    0    0    0    0    0    0    0    0    0    0    0    0
@@ -135,13 +136,16 @@ print('len:',len(X_train[27]))
    54   36  271    6   20    2  181    6   52  130   60   48   12    9
     2   21    4   64  835  133    9    4  130  806]
 len: 500
+```
 ```python
 review_as_text = ' '.join(id_to_word[id] for id in X_train[26])
 print(review_as_text)
 print('len:',len(review_as_text))
 ```
+```
 <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <PAD> <START> director fred <UNK> <UNK> directs this well <UNK> but inferior comedy about albert <UNK> matthau trying to hook his scientific <UNK> ryan up with ordinary guy tim <UNK> in order to get her to <UNK> and enjoy life in the 1950's to get ryan to like <UNK> <UNK> tries to make <UNK> look like a brilliant scientist the idea is cute but the film falls flat with corny situations and silly dialogue tim <UNK> <UNK> ryan and the terrific supporting cast do their best to keep this silly comedy <UNK> but are unable to rescue the film its unfortunate that so much talent went into producing such a <UNK> movie i would not recommend to anybody unless they are huge fans of <UNK> ryan
 len: 2932
+```
 После обработки в начало отзыва добавилось необходимое количество токенов , чтобы отзыв был длинной в 500 индексов.
 ### 7) Вывели предобработанные массивы обучающих и тестовых данных и их размерности.
 ```python
@@ -153,6 +157,7 @@ print('X train: \n',X_test)
 print('Shape of X train:', X_train.shape)
 print('Shape of X test:', X_test.shape)
 ```
+```
 X train: 
  [[   0    0    0 ...    8  106   53]
  [   0    0    0 ...  404   10   10]
@@ -171,6 +176,7 @@ X train:
  [   0    0    0 ...  418    7  595]]
 Shape of X train: (25000, 500)
 Shape of X test: (25000, 500)
+```
 ###8) Реализовали модель рекуррентной нейронной сети, состоящей из слоев Embedding, LSTM, Dropout, Dense, и обучили ее на обучающих данных с выделением части обучающих данных в качестве валидационных. Вывели информацию об архитектуре нейронной сети. Добились качества обучения по метрике accuracy не менее 0.8.
 ```python
 embed_dim = 32
@@ -212,6 +218,7 @@ epochs = 3
 model.compile(loss="binary_crossentropy", optimizer="adam", metrics=["accuracy"])
 model.fit(X_train, y_train, batch_size=batch_size, epochs=epochs, validation_split=0.2)
 ```
+```
 Epoch 1/3
 313/313 ━━━━━━━━━━━━━━━━━━━━ 11s 22ms/step - accuracy: 0.6725 - loss: 0.5824 - val_accuracy: 0.8414 - val_loss: 0.3682
 Epoch 2/3
@@ -219,13 +226,16 @@ Epoch 2/3
 Epoch 3/3
 313/313 ━━━━━━━━━━━━━━━━━━━━ 7s 21ms/step - accuracy: 0.8603 - loss: 0.3303 - val_accuracy: 0.8634 - val_loss: 0.3218
 <keras.src.callbacks.history.History at 0x7fc7d1d3b680>
+```
 ```python
 test_loss, test_acc = model.evaluate(X_test, y_test)
 print(f"\nTest accuracy: {test_acc}")
 ```
+```
 782/782 ━━━━━━━━━━━━━━━━━━━━ 7s 8ms/step - accuracy: 0.8583 - loss: 0.3294
 
 Test accuracy: 0.8605999946594238
+```
 ###9) Оценили качество обучения на тестовых данных:
 ###вывели значение метрики качества классификации на тестовых данных
 ###вывели отчет о качестве классификации тестовой выборки