From 027c80289b32a4abad72909531bc4ae1bf8429e0 Mon Sep 17 00:00:00 2001
From: Awin Huang <awinhuang@gmail.com>
Date: Fri, 7 Jul 2023 10:04:26 +0800
Subject: [PATCH] vault backup: 2023-07-07 10:04:26

---
 .obsidian/workspace.json        | 23 ++++++++++-------------
 05. 資料收集/Keras - Dataset.md |  8 ++++++++
 2 files changed, 18 insertions(+), 13 deletions(-)
 create mode 100644 05. 資料收集/Keras - Dataset.md

diff --git a/.obsidian/workspace.json b/.obsidian/workspace.json
index f0b2a36..f5fe9e7 100644
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@@ -39,14 +39,11 @@
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@@ -195,10 +192,13 @@
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diff --git a/05. 資料收集/Keras - Dataset.md b/05. 資料收集/Keras - Dataset.md
new file mode 100644
index 0000000..f653e27
--- /dev/null
+++ b/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）。