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Deep Learning Cookbook: Practical Recipes to Get Started Quickly

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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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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.

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Quantum Computing for Everyone (The MIT Press)
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Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

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Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

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Boiled-down essentials of the top-selling Schaum's Outline series, for the student with limited time

What could be better than the bestselling Schaum's Outline series? For students looking for a quick nuts-and-bolts overview, it would have to be Schaum's Easy Outline series. Every book in this series is a pared-down,...

Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition
Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition

Learn to implement complex data structures and algorithms using Python

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  • Understand the analysis and design of fundamental Python data structures
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