- Main
- Computers - Computer Science
- GANs in Action
GANs in Action
Jakub Langr, Vladimir Bok你有多喜歡這本書?
文件的質量如何?
下載本書進行質量評估
下載文件的質量如何?
Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the other that rejects samples that are of poor quality. GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks. First, you'll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you'll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks.
What's inside
• Building your first GAN
• Handling the progressive growing of GANs
• Practical applications of GANs
• Troubleshooting your system
About the reader
For data professionals with intermediate Python skills, and the basics of deep learning–based image processing.
What's inside
• Building your first GAN
• Handling the progressive growing of GANs
• Practical applications of GANs
• Troubleshooting your system
About the reader
For data professionals with intermediate Python skills, and the basics of deep learning–based image processing.
年:
2019
版本:
1
出版商:
Manning Publications
語言:
english
頁數:
241
ISBN 10:
1617295566
ISBN 13:
9781617295560
文件:
PDF, 21.96 MB
你的標籤:
IPFS:
CID , CID Blake2b
english, 2019
該文件將發送到您的電子郵件地址。 您最多可能需要 1-5 分鐘收到它。
該文件將通過電報信使發送給您。 您最多可能需要 1-5 分鐘收到它。
注意:確保您已將您的帳戶鏈接到 Z-Library Telegram 機器人。
該文件將發送到您的 Kindle 帳戶。 您最多可能需要 1-5 分鐘就能收到它。
請注意:您需要驗證要發送到 Kindle 的每本書。 檢查您的郵箱是否有來自 Amazon Kindle 的驗證郵件。
轉換進行中
轉換為 失敗