April 2020
Intermediate to advanced
816 pages
18h 32m
Chinese
Content preview from 精通機器學習
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用 Keras 來實作 MLP
|
293
你必須這樣修改
import：
from tensorflow.keras.layers import
Dense
output_layer = Dense(10)
或直接使用完整路徑
，
如果你比較喜歡這樣做的話
：
from tensorflow import
keras
output_layer = keras.layers.Dense(10)
雖然這種做法比較繁瑣
，
但本書將會採用它
，
讓你知道我們使用哪一個程式包
，
並且避免你搞不清楚它究竟是標準類別還是自訂類別
。
在成品中
，
我比較喜歡
前者的做法
。
很多人也會先使用
from tensorflow.keras import layers
，
再使用
layers.Dense(10)
。
模型的
summary()
方法可顯示模型的每一層
14
，
包括每一層的名稱
（
這是自動產生的
，
除
非你在製作該層的時候設定它
）、
它的輸出外形
（
None
代表可為任何批次大小
），
以及它
的參數數量
。
這個摘要的結尾是參數的總數
，
包括可訓練的和不可訓練的參數
。
在此
，
我
們只有可訓練的參數
（
第
11
章會展示不可訓練的參數的例子
）：
>>>
model.summary()
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
================================================================= ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.