Introduction to Deep Learning Business Applications for Developers
From Conversational Bots in Customer Service to Medical Image Processing
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Beschreibung
Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles.
An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. You’ll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer.
After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework.
You will:
- Find out about deep learning and why it is so powerful
- Work with the major algorithms available to train deep learning models
- See the major breakthroughs in terms of applications of deep learning
- Run simple examples with a selection of deep learning libraries
- Discover the areas of impact of deep learning in business
Covers the latest developments in Deep Learning and offers concrete advice on how to implement Deep Learning in your business Explains the complexities in deploying a Deep Learning platform – in-house or on the cloud integrating with Data Warehouse Discusses concrete implications of Deep Learning in many business areas, from conversational bots in customer service to medical image processing
Autor*in
Armando Vieira
Themen in »Introduction to Deep Learning Business Applications for Developers«
Deep Learning Deep Neural Networks Natural Language Processing Convolutional Neural Networks Robotics Recommendation Alorithms Reinforcement Learning Python