English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 1h 17m | 246 MB
Use TensorFlow to build mobile apps and add features to make your apps smarter
TensorFlow is one of the most popular deep learning frameworks available and can be used for solving real-world applications such as analyzing images, generating data, natural language processing, intelligent chatbots, robotics, and more. This course will allow you to add such features without going deeply into machine learning or deep learning.
This course will show you how to develop smart applications the easy way using the power of TensorFlow and to add intelligent features to make your applications smarter without delving into deep learning. You will begin by setting up the environment required to get started quickly followed by building and deploying your first machine model. Next, you will use TensorFlow Lite, which is well optimized for on-device machine learning. As we proceed further, you’ll get hands-on practice in building applications on different platforms such as iOS and Android. Lastly, you will get some crucial tips on how to make your existing applications smarter.
By the end of the course, you’ll not only be comfortable with using TensorFlow for building applications but will also be able to integrate the power of artificial intelligence in your mobile apps.
Full of hands-on instructions, interesting and illustrative examples, and clear explanations. Easy to understand with practical examples and minimal theory.
What You Will Learn
- Easily use machine learning in your applications
- Learn the art of building models using pre-built models and scripts
- Deploy machine learning models to any general application
- Use artificial intelligence in your models
- Build your first smart iOS/Android application
- Add intelligent features in your existing applications
Table of Contents
Getting Started!
1 The Course Overview
2 What Are Smart Applications and Why Do We Want Them
Understanding the Machine Learning Pipeline
3 Creating a Virtual Environment and Installing TensorFlow
4 Building an Image Classifier with Eight Lines of Code
5 Fast Image Recognition Using the TensorFlow API
6 Training a Custom Image Recognition Model
7 Deploying a TensorFlow Application Using Flask
On-Device Machine Learning TensorFlow on Android
8 TensorFlow Image Classification on Android
9 Artistic Style Transfer Using the TensorFlow API on Android
On-Device Machine Learning Tensorflow on iOS
10 Introduction to CoreML
11 Supercharge Your Augmented Reality App with TensorFlow, CoreML, and ARKit
More Smart Applications Using TensorFlow
12 TensorFlow for the Web – TensorFlow.js
13 Text Classification – Predict the Movie Genre
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