Campagne de collecte 15 septembre 2024 – 1 octobre 2024 C'est quoi, la collecte de fonds?

Intelligent mobile projects with TensorFlow : build 10+...

Main
Computers
Intelligent mobile projects with...

Intelligent mobile projects with TensorFlow : build 10+ artificial intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Tang, Jeff

4.0 / 0

Avez-vous aimé ce livre?

Quelle est la qualité du fichier téléchargé?

Veuillez télécharger le livre pour apprécier sa qualité

Quelle est la qualité des fichiers téléchargés?

Catégories:

Année:

2018

Editeur::

Packt Publishing

Langue:

english

ISBN 10:

1788628802

ISBN 13:

9781788628808

Fichier:

EPUB, 31.02 MB

IPFS:

,

english, 2018

Lire en ligne

La conversion en est effectuée

La conversion en a échoué

Cela peut vous intéresser

Antonio Leiva — Kotlin for Android Developers : learn Kotlin the easy way while developing an Android App

Black Dog Media — Raspberry Pi The Complete Guide

Josh Hugh Learning — Python Machine Learning. A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras.

George F. Luger, William A. Stubblefield — Artificial Intelligence: Structures And Strategies For Complex Problem Solving

Ziemann, Volker — A hands-on course in sensors using the Arduino and Raspberry Pi

Mark L. Murphy — The Busy Coder’s Guide To Android Development (Final Version)

Reto Meier, Ian Lake — Professional Android

The MagPi Team — Learn to code with Scratch

Ian F. Darwin — Android Cookbook: Problems and Solutions for Android Developers

Matt Richardson, Shawn Wallace — Make: Getting Started with Raspberry Pi: Electronic Projects with the Low-Cost Pocket-Sized Computer

Simon Monk — Make: Action: Movement, Light, and Sound with Arduino and Raspberry Pi

Simon Monk — Raspberry Pi Cookbook: Software and Hardware Problems and Solutions

Simon Monk — Electronics Cookbook: Practical Electronic Recipes with Arduino & Raspberry Pi

Dawn Griffiths, David Griffiths — Head First Android Development: A Brain-Friendly Guide

Tom Hope, Yehezkel S. Resheff, Itay Lieder — Learning TensorFlow

Anirudh Koul, Siddha Ganju, Meher Kasam — Practical Deep Learning for Cloud and Mobile

Simon Monk — Raspberry Pi Cookbook: Software and Hardware Problems and Solutions

Mars Geldard, Jonathon Manning, Paris Buttfield-Addison, Tim Nugent — Practical Artificial Intelligence with Swift: From Fundamental Theory to Development of AI-Driven Apps

Daniel Situnayake — TinyML: Machine Learning With TensorFlow on Arduino, and Ultra-Low Power Micro-Controllers

Paul Cardle — Android App Development in Android Studio - Java plus Android edition for beginners

Matt Timmons-Brown — Learn Robotics with Raspberry Pi: Build and Code Your Own Moving, Sensing, Thinking Robots

Nishant Shukla — Machine Learning with TensorFlow

Sandy Antunes — Make: Jumpstarting Raspberry Pi Vision: Machine Learning and Facial Recognition on a Single-Board Computer

Krishna Rungta — TensorFlow in 1 Day Make your own Neural Network

Srinivasa Rao Kotipalli, Mohammed A. Imran — Hacking Android

Horton J. — Android Programming for Beginners: Learn all the Java and Android skills you need to start making powerful mobile applications

Jessica Thornsby — Android UI Design: Plan, design, and build engaging user interfaces for your Android applications

Joseph Howse, Prateek Joshi, Michael Beyeler — Opencv: Computer Vision Projects with Python

Rajalingappaa Shanmugamani — Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Manpreet Singh Ghotra, Rajdeep Dua — Neural Network Programming with TensorFlow

Aanand Shekhar Roy, Rashi Karanpuria — Kotlin Programming Cookbook: Explore more than 100 recipes that show how to build robust mobile and web applications with Kotlin, Spring Boot, and Android

Tim Cox, Dr. Steven Lawrence Fernandes — Raspberry Pi 3 Cookbook for Python Programmers: Unleash the potential of Raspberry Pi 3 with over 100 recipes

Jeff Tang — Intelligent Mobile Projects with TensorFlow

Denis Rothman, Matthew Lamons, Rahul Kumar, Abhishek Nagaraja, Amir Ziai, Ankit Dixit — Python Beginners Guide to Artificial Intelligence

Neil Smyth — Android Studio 3.3 Development Essentials - Android 9 Edition: Developing Android 9 Apps Using Android Studio 3.3, Java and Android Jetpack

Cox, Tim; Fernandes, Steven Lawrence; Vaish, Diwakar; Yamanoor, Sai; Yamanoor, Srihari — Getting started with Python for the Internet of Things : leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi

James Gale — BDM’s Raspberry Pi: Tricks, Hacks & Fixes Guides (2018)

The MagPi — The Official Raspberry Pi Projects Book

Gareth Halfacree, Russell Barnes — The Official Raspberry Pi Beginner’s Guide: 2nd Edition

Gareth Halfacree, Ben Everard — Get started with MicroPython on Raspberry Pi Pico

Sam Abrahams, Danijar Hafner, Erik Erwitt, Ariel Scarpinelli — TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms

Darryl Bayliss, Tom Blankenship, Fuad Kamal, Namrata Bandekar — Android Apprentice (Second Edition): Beginning Android Development with Kotlin

Mots Clefs

Les listes de livres associées