• -
  • -
  • done
Download

Description

Practical Deep Learning for Cloud, Mobile & Edge Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow [2019, PDF, ENG]

image

Год издания : 2019

Автор : Anirudh Koul, Siddha Ganju, Meher Kasam

Жанр или тематика : Программирование

Издательство : O'Reilly Media, Inc.

ISBN : 9781492034865

Язык : Английский

Формат : PDF

Качество : Издательский макет или текст (eBook)

Интерактивное оглавление : Да

Количество страниц : 959

Описание : 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

Примеры страниц

image image image

Оглавление

Preface
1. Exploring the Landscape of Artificial Intelligence
2. What’s in the Picture: Image Classification with Keras
3. Cats Versus Dogs: Transfer Learning in 30 Lines with Keras
4. Building a Reverse Image Search Engine: Understanding Embeddings
5. From Novice to Master Predictor: Maximizing Convolutional Neural Network Accuracy
6. Maximizing Speed and Performance of TensorFlow: A Handy Checklist
7. Practical Tools, Tips, and Tricks
8. Cloud APIs for Computer Vision: Up and Running in 15 Minutes
9. Scalable Inference Serving on Cloud with TensorFlow Serving and KubeFlow
10. AI in the Browser with TensorFlow.js and ml5.js
11. Real-Time Object Classification on iOS with Core ML
12. Not Hotdog on iOS with Core ML and Create ML
13. Shazam for Food: Developing Android Apps with TensorFlow Lite and ML Kit
14. Building the Purrfect Cat Locator App with TensorFlow Object Detection API
15. Becoming a Maker: Exploring Embedded AI at the Edge
16. Simulating a Self-Driving Car Using End-to-End Deep Learning with Keras
17. Building an Autonomous Car in Under an Hour: Reinforcement Learning with AWS DeepRacer
A. A Crash Course in Convolutional Neural Networks
Index

GitHub

https://github.com/PracticalDL/Practical-Deep-Learning-Book

Быстрая настройка локальной среды для запуска примеров

Код:

$ docker pull tensorflow/tensorflow:latest  # Download latest stable image
$ docker run -it -p 8888:8888 tensorflow/tensorflow:latest-jupyter  # Start Jupyter server


More at ibit.to
And ibit.uno
And ibit.am
And ibit.ws

Comments

2 weeks ago

PeterVorotyntsev! Файл надо переименовать еще раз - на обложке стоит "... Mobile & Edge ...", а не "... Mobile, and Edge ...". Переименовать надо и в заголовке раздачи, и в названии книги. Кроме того, в названии файла должна быть только основная часть названия книги, без уменьшенного шрифта (т.е. только "Practical Deep Learning for Cloud, Mobile & Edge").

Files

Koul A. - Practical Deep Learning for Cloud, Mobile & Edge Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow - 2019.pdf 26 MB

Stream

Downloading Seeding Koul A. - Practical Deep Learning for Cloud, Mobile & Edge Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow - 2019.pdf from to 0 peers.
of
0 b/s / ↗0 b/s