This book will teach you how to build advanced machine learning applications with intuitive and detailed explanations of topics, and with no background in math required. It adopts a practical approach by applying the theory to build real-world Java applications using modern practices and techniques that are prevalent in the computer vision world.
- 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
- Other Books You May Enjoy
To get the most out of this book
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.