Deep Learning Cookbook: Practical Recipes to Get Started Quickly

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Deep Learning Cookbook: Practical Recipes to Get Started Quickly by Douwe Osinga
English | June 23rd, 2018 | ISBN: 149199584X | 252 Pages | EPUB (True/HQ) | 9.14 MB
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

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