Machine Learning Projects for Mobile Applications: Build iOS, Android applications with TensorFlow, Keras & Caffe

Pay with

About Machine Learning Projects For Mobile

Bring magic to your mobile apps using TensorFlow Lite and CoreMLKey FeaturesExplore ML on mobile using classification, analytics, and detection tasks. Practical machine learning on image, text, audio & video datasets Build apps for Android and iOS using Caffe, CoreML and Tensorflow LiteBook DescriptionMachine learning is one of the growing techniques which focus on the development of computer programs that can be changed or modified when exposed to new data. We can now make use of its significant contributions in our mobile too. This book will show you exactly how to do so.This book starts with explaining you the basics of machine learning on mobile and how to get well equipped for further tasks. You will then start with developing an app to classify age and gender using CoreML, Caffe and Tensorflow Lite. Further, you will explore GAN to find your celebrity match and develop an app for touch-free car driving experience. You will get the best keyword suggestions using NLP on mobile. Also, you will get to create your own Snapchat filter making use of facial attributes and OpenCV. Next, to measure the health factor, you will train your models to classify food just by clicking a picture on mobile, all with the help of deep learning. Lastly, you will build an image classifier on mobile, compare the performance and analyze the results on both mobile and cloud using TensorFlow with RCNN.By the end of this book, you will not only master all the concepts of machine learning, deep learning, and their implementation but also learn to solve problems and challenges faced while building powerful apps on mobile using TensorFlow and Keras.What you will learnDemystify the machine learning landscape on MobileBuild an app to detect age and gender using Caffe and CoreMLFind your best celebrity match using GANs and TensorFlow LiteRecognise audio and get better keyword suggestions on mobile.Build cross-platform application with face filters using OpenCV & CNNGet to know the health factor in food using deep learning on mobileWho This Book Is ForThis book is intended to data scientists, machine learning experts, deep learning and AI enthusiasts to go one step beyond and master machine learning and deep learning implementations with the practical projects using TensorFlow and Keras. Basic knowledge of Python programming language is expected to get the most out of the book