This book is intended for data scientists, machine learning developers, and deep learning practitioners with a knowledge of Java who want to implement machine learning and deep neural networks in the computer vision domain. A basic knowledge of Java programming will be required.
- Title Page
- Copyright and Credits
- About Packt
- Contributor
- Preface
- Introduction to Computer Vision and Training Neural Networks
- The computer vision state
- Exploring neural networks
- How does a neural network learn? 
- Organizing data and applications
- Effective training techniques
- Optimizing algorithms
- Configuring the training parameters of the neural network
- Representing images and outputs
- Building a handwritten digit recognizer
- Summary
- Convolutional Neural Network Architectures
- Transfer Learning and Deep CNN Architectures
- Real-Time Object Detection
- Creating Art with Neural Style Transfer
- Face Recognition
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Who this book is for
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