Category: Computer Science & Computer Engineering
eBook Details: Paperback: 556 pages Publisher: WOW! eBook (November 29, 2018) Language: English ISBN-10: 1789537223 ISBN-13: 978-1789537222 eBook Description: Hands-On Industrial Internet of Things: Build a strong and efficient IoT infrastructure at industrial and enterprise level by mastering Industrial IoT network We live in an era where advanced automation is used to achieve accurate...
eBook Details: Paperback: 308 pages Publisher: WOW! eBook (June 27, 2019) Language: English ISBN-10: 1789616131 ISBN-13: 978-1789616132 eBook Description: Hands-On Deep Learning for IoT: Implement popular deep learning techniques to make your IoT applications smarter Artificial Intelligence is growing quickly, which is driven by advancements in neural networks (NN) and deep learning (DL). With...
eBook Details: Paperback: 348 pages Publisher: WOW! eBook (June 21, 2019) Language: English ISBN-10: 1789532582 ISBN-13: 978-1789532586 eBook Description: Qt 5 and OpenCV 4 Computer Vision Projects: Create image processing, object detection and face recognition apps by leveraging the power of machine learning and deep learning with OpenCV 4 and Qt 5 OpenCV and...
eBook Details: Hardcover: 656 pages Publisher: WOW! eBook; 1st edition (June 5, 2019) Language: English ISBN-10: 1260456846 ISBN-13: 978-1260456844 eBook Description: Applied Machine Learning: Cutting-edge machine learning principles, practices, and applications This comprehensive textbook explores the theoretical under-pinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to...
eBook Details: Paperback: 246 pages Publisher: WOW! eBook; 1st edition (August 2, 2019) Language: English ISBN-10: 1492044954 ISBN-13: 978-1492044956 eBook Description: Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately “fool” them with data that wouldn’t trick...