Category: Computer Science & Computer Engineering
eBook Details: Paperback: 442 pages Publisher: WOW! eBook (February 28, 2020) Language: English ISBN-10: 1789613175 ISBN-13: 978-1789613179 eBook Description: Hands-On Deep Learning for Finance: Take your quantitative strategies to the next level by exploring nine examples that make use of cutting-edge deep learning technologies, including CNNs, LSTMs, GANs, reinforcement learning, and CapsNets Quantitative methods...
eBook Details: Paperback: 578 pages Publisher: WOW! eBook (February 28, 2020) Language: English ISBN-10: 1839211539 ISBN-13: 978-1839211539 eBook Description: Artificial Intelligence By Example, 2nd Edition: Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Artificial Intelligence (AI) has the potential to replicate humans in every...
eBook Details: Paperback: 432 pages Publisher: WOW! eBook (February 26, 2020) Language: English ISBN-10: 1838551301 ISBN-13: 978-1838551308 eBook Description: Hands-On ROS for Robotics Programming: Take your ROS skills to the next level by implementing complex robot structure in ROS Simulation Connecting a physical robot to a robot simulation using the Robot Operating System (ROS)...
eBook Details: Paperback: 316 pages Publisher: WOW! eBook (April 30, 2019) Language: English ISBN-10: 1788998081 ISBN-13: 978-1788998086 eBook Description: Hands-On Deep Learning Architectures with Python: Concepts, tools, and techniques to explore deep learning architectures and methodologies Deep learning architectures are composed of multilevel nonlinear operations that represent high-level abstractions; this allows you to learn...
eBook Details: Paperback: 250 pages Publisher: WOW! eBook (April 30, 2019) Language: English ISBN-10: 1788834135 ISBN-13: 978-1788834131 eBook Description: PyTorch Deep Learning Hands-On: Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch PyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning...