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Deep learning cookbook : practical recipes to get started quickly /
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&...
Main Author: | |
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Format: | Printed Book |
Language: | English |
Edition: | First edition. |
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Table of Contents:
- Tools and techniques
- Getting unstuck
- Calculating text similarity using word embeddings
- Building a recommender system based on outgoing Wikipedia links
- Generating text in the style of an example text
- Question matching
- Suggesting emojis
- Sequence-to-sequence mapping
- Reusing a pretrained image recognition network
- Building an inverse image search service
- Detecting multiple images
- Image style
- Generating images with autoencoders
- Generating icons using deep nets
- Music and deep learning
- Productionizing machine learning systems.