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Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML
JPY 9961
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Master the concepts of machine learning and build powerful apps on mobiles using TensorFlow Lite, Caffe2, and Core ML.
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この商品の利点
製品詳細
- Explore machine learning concepts for mobile applications
- Build Android and iOS apps using TensorFlow Lite and Core ML
- Learn age and gender detection using TensorFlow Lite and Core ML
- Implement neural style transfer on photos
- Work with ML Kit for Firebase for in-text detection, face detection, and barcode scanning
- Create a Snapchat-like AR filter using OpenCV
| Item Weight | 1.5 lbs (680 grams) |
どんな人にお勧めですか?
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Mobile Developers
Developers looking to integrate machine learning into their Android or iOS applications using TensorFlow Lite and Core ML.
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Data Scientists
Data scientists wanting to gain practical experience in deploying machine learning models on mobile platforms.
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Students Learning ML
Students seeking to learn about mobile applications with real-world machine learning projects and practical implementations.
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Beginner Programmers
Complete beginners may struggle with the concepts and coding required for implementing machine learning in mobile apps.
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Non-Technical Users
Individuals without a programming background will find the technical content challenging and difficult to comprehend.
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General Audience
Casual readers or users seeking basic information on machine learning without the need for coding or advanced applications.
製品説明書
Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML
About This Item
Introducing Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML Are you ready to take your mobile app development skills to the next level? With Machine Learning Projects for Mobile Applications, you can now learn how to build Android and iOS applications using cutting-edge machine learning technologies like TensorFlow Lite and Core ML. Whether you're a beginner or an experienced mobile developer, this comprehensive guide is packed with step-by-step tutorials, real-world examples, and hands-on projects that will help you harness the power of machine learning in your Android and iOS apps. With the rise of artificial intelligence and machine learning, integrating intelligent features into mobile applications has become a must for developers. By leveraging TensorFlow Lite, an open-source machine learning framework for mobile devices, and Core ML, a machine learning framework specifically designed for Apple devices, you'll be able to create intelligent and dynamic mobile apps that can analyze data, recognize objects, and make predictions in real-time. This book covers a wide range of topics, including Android machine learning projects, iOS machine learning projects, mobile app development with machine learning, TensorFlow Lite for mobile applications, Core ML for mobile applications, and much more.
You'll learn how to train machine learning models, integrate them into your apps, and optimize their performance for mobile devices. Discover how to build intelligent image recognition apps, automate tedious tasks using natural language processing, create predictive models for forecasting and recommendation systems, and much more. With the guidance of this book, you'll have the necessary skills and knowledge to develop advanced machine learning-powered mobile applications that will delight your users and set your apps apart from the competition. Unleash the potential of machine learning in mobile app development. Get your copy of Machine Learning Projects for Mobile Applications today and start building intelligent Android and iOS apps using TensorFlow Lite and Core ML.
顧客の質問と回答
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質問:
What are the key tasks that can be accomplished using this book?
答え: This book introduces readers to the basics of machine learning concepts for mobile applications and delves into real-world tasks such as detecting handwritten text, creating custom filters, and classifying food. -
質問:
What programming languages are required to understand the book?
答え: Basic knowledge of Python programming language would be an added advantage. -
質問:
What sets this book apart from other machine learning books?
答え: Readers will learn how to build apps for Android and iOS using Caffe, Core ML, and Tensorflow Lite and will be able to master the concepts of machine learning and build powerful apps on mobiles.
Intelligence & Semantics Editorial Review
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長所
- Innovative project ideas
- User-friendly approach
- Real-world applications
- Great for beginners
- Well-structured content
短所
- May need basic coding knowledge
Product Price History
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JPY 9961
今すぐ注文すると 頃に届きます Sunday, 6月 28
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Ubuyはお客様のセキュリティとプライバシーの保護に努めています。当社の高度な決済セキュリティシステムは、AES(高度暗号化標準)およびSSL(セキュアソケットレイヤー)プロトコルを使用して送信中の情報を暗号化することで機密性を確保しています。お客様の決済情報は第三者の販売者と共有されることはなく、100%安全に保護されています。
特徴と利点
- Explore machine learning using classification, analytics, and detection tasks.
- Work with image, text, and video datasets to delve into real-world tasks.
- Build apps for Android and iOS using Caffe, Core ML, and Tensorflow Lite.
- Learn how to detect handwritten text, create custom filters, and classify food.
- Build an image classifier, compare its performance, and analyze the results.
- Targeted audience: data scientists, machine learning experts, deep learning, or AI enthusiasts.