vault backup: 2023-07-07 10:04:26

.obsidian/workspace.json

@@ -39,14 +39,11 @@
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05. 資料收集/Keras - Dataset.md

@@ -0,0 +1,8 @@
+可以使用 `tensorflow.keras.utils.image_dataset_from_directory` 來建立 dataset。
+dataset 會有 `data_batch` 與 `label_batch` 這兩個 member，分別代表資料與標籤。
+可以用 `dataset.batch(32)` 改變 batch size。
+還有一些其他的有用function:
+- `shuffle(buffer_size)`: 打亂順序
+- `prefetch(buffer_size)`: 設定預讀的大小
+- `map(callback_func)`: 用 callback_func 來處理資料
+- `take(N)`: 取出第N筆的批次資料，注意這一筆是一個批次資料，裡面可能有32筆資料（或其他數量，看你的 `dataset.batch(N)` 怎麼設定）。