Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow by Anirudh Koul. From Novice to Master Predictor: Maximizing Convolutional Neural Network AccuracyOptimize the Number of Parallel CPU Threads14. 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.If you’re using a PC or Mac you can read this ebook online in a web browser, without downloading anything or installing software.You can read this eBook on any device that supports DRM-free EPUB or DRM-free PDF format. {{ format_drm_information.format_name }} offThe publisher has supplied this book in DRM Free formAfter you've bought this ebook, you can choose to download either the PDF version or the ePub, or both.The publisher has set limits on how much of this ebook you may print or copy.
This book is free for you.
Tom Manshreck, DRM-Free Books
This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach.
By Anirudh Koul, Siddha Ganju, Meher Kasam Publisher: O'Reilly Media Release Date: October 2019 Pages: 620 Read on O'Reilly Online Learning with a 10-day trial
Get this from a library! Titus Winters, With detailed notes, tables, and examples, this handy reference will help you navigate the basics of …Speeding Up with the Google Coral USB AcceleratorWhether 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. The lowest-priced brand-new, unused, unopened, undamaged item in its original packaging (where packaging is applicable). Sylvain Gugger File Name: Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow.pdf Size: 6956 KB Type: PDF, ePub, eBook Category: Book Uploaded: 2020 Aug 15, 20:45 Rating: 4.6/5 from 306 votes. {{ format_drm_information.format_name }} {{format_drm_information.page_percent}}% every {{format_drm_information.interval}} daysWhether 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. It’s now possible to teach a …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.To the Backend/Frontend/Mobile Software DeveloperDeep learning is often viewed as the exclusive domain of math PhDs and big tech companies. Practical Deep Learning Book for Cloud, Mobile & Edge ** Featured on the official Keras website ** 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 …
Be the first to write a review. Becoming a Maker: Exploring Embedded AI at the EdgeBenchmarking and Practical ConsiderationsDesirable Qualities in a Production-Level Serving SystemDeep Reinforcement Learning Summary with DeepRacer as an ExampleDesired Properties of an Image ClassifierWhy Learn Reinforcement Learning with an Autonomous Car?Today, software engineers need to know not only how to program effectively but also how to …Exercise your consumer rights by contacting us at Practical Deep Learning for Cloud, Mobile, and EdgeTransfer Learning Versus Training from ScratchThe “Hello, World!” of Autonomous Driving: Steering Through a Simulated EnvironmentHow Do I Update the Model on My Users’ Phones?2.
Building an Autonomous Car in Under an Hour: Reinforcement Learning with AWS DeepRacerEffect of Compression on Image Labeling APIs A Crash Course in Convolutional Neural NetworksBreaking the Data: Train, Validation, TestCommon Techniques for Machine Learning Experimentation practical convolutional neural networks packt. Not Hotdog on iOS with Core ML and Create MLDeep Learning, Autonomous Driving, and the Data ProblemEffect of Change in Aspect Ratio on Transfer LearningHow Does a Reinforcement Learning System Learn?Building a Real-Time Object Recognition AppHow Do I Measure the Success of My Model?A Brief Introduction to Reinforcement Learning16.