- Main
- Computers - Computer Science
- Deep Learning Cookbook: Practical...
Deep Learning Cookbook: Practical Recipes to Get Started Quickly
Douwe Osinga你有多喜欢这本书?
下载文件的质量如何?
下载该书,以评价其质量
下载文件的质量如何?
Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you'll learn how to solve deep-learning problems for classifying and generating text, images, and music.
Each chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you're stuck. Examples are written in Python with code available on GitHub as a set of Python notebooks.
You'll learn how to:
Create applications that will serve real users
Use word embeddings to calculate text similarity
Build a movie recommender system based on Wikipedia links
Learn how AIs see the world by visualizing their internal state
Build a model to suggest emojis for pieces of text
Reuse pretrained networks to build an inverse image search service
Compare how GANs, autoencoders and LSTMs generate icons
Detect music styles and index song collections
Each chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you're stuck. Examples are written in Python with code available on GitHub as a set of Python notebooks.
You'll learn how to:
Create applications that will serve real users
Use word embeddings to calculate text similarity
Build a movie recommender system based on Wikipedia links
Learn how AIs see the world by visualizing their internal state
Build a model to suggest emojis for pieces of text
Reuse pretrained networks to build an inverse image search service
Compare how GANs, autoencoders and LSTMs generate icons
Detect music styles and index song collections
年:
2018
出版社:
O’Reilly Media
语言:
english
页:
252
ISBN 10:
149199584X
ISBN 13:
9781491995846
文件:
PDF, 11.64 MB
您的标签:
IPFS:
CID , CID Blake2b
english, 2018
在1-5分钟内,文件将被发送到您的电子邮件。
该文件将通过电报信使发送给您。 您最多可能需要 1-5 分钟才能收到它。
注意:确保您已将您的帐户链接到 Z-Library Telegram 机器人。
该文件将发送到您的 Kindle 帐户。 您最多可能需要 1-5 分钟才能收到它。
请注意:您需要验证要发送到Kindle的每本书。检查您的邮箱中是否有来自亚马逊Kindle的验证电子邮件。
正在转换
转换为 失败