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Practical Deep Learning for Cloud, Mobile, and Edge
Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users
Pattern Recognition and Image Analysis
This LNCS volume contains the papers presented at the 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005) organized in August, 2005 in the beautiful city of Bath, UK.
Loving the Silent Tears
Loving the Silent Tears is more than a musical. It is a celebration. This remarkable show rejoices in the diversity of our world: Sixteen vibrant global cultures are presented through soaring music, astounding sets and costumes, and an impressive cast of singers and dancers. Moving deeper, the musical’s book and lyrics weave the entrancing story of a magical journey and the crisscrossing paths of an older, disenchanted woman and a lost young man propelled on the way to self-discovery. It is a search for a meaningful existence and ultimately, an exaltation of finding peace within ourselves. Musical theatre has always conveyed tales of love, ambition, and adversity through song and dance. With a topic that’s more unique than most, this musical is particularly deep yet highly entertaining. The theme revolves around the innate human longing to contact a higher power, or in the poet’s words, “Loving the silent tears for You more than the diamonds of the world.” Good theatre invites us to think, to question, and to aspire. Loving the Silent Tears does just that, providing aesthetic gratification while planting the seeds for further reflection.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and ...
Training Data for Machine Learning
Your training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data. But while training data is the foundation for successful AI and machine learning, there are few comprehensive resources to help you ace the process. In this hands-on guide, author Anthony Sarkis--lead engineer for the Diffgram AI training data software--shows technical professionals, managers, and subject matter experts how to work with and scale training data, while illuminating the human side of supervising machines. Engineering leaders, data engineers, and data science professionals alike will gain a solid understanding of the...
Pattern Recognition and Data Mining
This LNCS volume contains the papers presented at the 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005) organized in August, 2005 in the beautiful city of Bath, UK.
The Rock Cover Song
Cover songs operate as a form of cultural discourse across various musical genres and different societal, historical and political conditions. Case studies include a comparative analysis of Jimi Hendrix's and Whitney Houston's versions of "The Star-Spangled Banner" as well as a mapping of the trajectory of "(I Can't Get No) Satisfaction" from the original version by the Rolling Stones through cover versions by Otis Redding, Devo, and Britney Spears. The radical deconstruction of pop and rock songs by the Residents and Laibach is also examined, with additional studies of cover songs by such as Van Halen, Kim Wilde, Rufus Harley, the Four Tops, Pat Boone and Johnny Cash. Rather than questions of quality or how a cover song measures up as "better or worse" than other versions, this book focuses on the ideological implications and social stakes of the "same old songs" as they are reconfigured to consider, comment on and confront political issues of gender, sexuality, race, the nation-state and the generation gap.
Building Machine Learning Pipelines
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play ...
Search
Search is as old as language. We've always needed to find something in the jumble of human creation. The first web was nothing more than passing verbal histories down the generations so others could find and remember how not to get eaten; the first search used the power of written language to build simple indexes in printed books, leading to the Dewey Decimal system and reverse indices in more modern times. Then digital happened. Besides having profound societal impacts, it also made the act of searching almost impossibly complex for both engines and searchers. Information isn't just words; it is pictures, videos, thoughts tagged with geocode data, routes, physical world data, and, increasin...
Advanced Computing
This volume constitutes reviewed and selected papers from the 11th International Advanced Computing Conference, IACC 2021, held in December 2021. The 47 full papers and 4 short papers presented in the volume were thorougly reviewed and selected from 246 submissions. The papers are organized in the following topical sections: application of artificial intelligence and machine learning in healthcare; application of AI for emotion and behaviour prediction; problem solving using reinforcement learning and analysis of data; advance uses of RNN and regression techniques; special intervention of AI.
