Deep Learning for Image Recognition provides a detailed explanation of the fundamental theories underpinning image recognition and code for recognition tasks in specific application scenarios. Readers can manipulate the existing code, thereby deepening their understanding. Chapters include project work enabling readers to apply the skills and knowledge gained from that section of the book. Projects are based on the accessible Pytorch framework, which is straightforward to learn and can be replicated and modified. Readers are presented with current research findings and up to date techniques in image recognition and deep learning.
ThriftBooks sells millions of used books at the lowest
everyday prices. We personally assess every book's quality and offer rare, out-of-print treasures. We
deliver the joy of reading in recyclable packaging with free standard shipping on US orders over $15.
ThriftBooks.com. Read more. Spend less.