- Hands-On Generative Adversarial Networks with Keras
- Rafael Valle
- 46字
- 2021-06-24 14:33:50
Categorical crossentropy loss
The categorical crossentropy loss function measures the weighted divergence between targets, 
, and predictions, 
, where 
denotes the data point, and 
denotes the class. For single label classification problems, the 
targets operate as an indicator variable and the loss is reduced to 
:
推薦閱讀
- ArchiCAD 19：The Definitive Guide
- 嵌入式系統(tǒng)應(yīng)用
- Hands-On Machine Learning on Google Cloud Platform
- Java實(shí)用組件集
- Hands-On Data Science with SQL Server 2017
- 條碼技術(shù)及應(yīng)用
- PIC單片機(jī)C語言非常入門與視頻演練
- Photoshop CS3特效處理融會(huì)貫通
- 網(wǎng)絡(luò)安全管理實(shí)踐
- Python：Data Analytics and Visualization
- Dreamweaver CS6精彩網(wǎng)頁制作與網(wǎng)站建設(shè)
- Mastering MongoDB 3.x
- AMK伺服控制系統(tǒng)原理及應(yīng)用
- 步步驚“芯”
- 計(jì)算機(jī)硬件技術(shù)基礎(chǔ)（第2版）