Implement popular deep learning techniques to make your IoT applications smarterKey FeaturesO Understand how deep learning facilitates fast and accurate analytics in IoTO Build intelligent voice and speech recognition apps in TensorFlow and ChainerO Analyze IoT data for making automated decisions and efficient predictionsBook DescriptionArtificial Intelligence is growing quickly, which is driven by advancements in neural networks(NN) and deep learning (DL). With an increase in investments in smart cities, smart healthcare, and industrial Internet of Things (IoT), commercialization of IoT will soon be at peak in which massive amounts of data generated by IoT devices need to be processed at scale. Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the context of making IoT applications smarter. It then covers how to build deep architectures using TensorFlow, Keras, and Chainer for IoT. YouOll learn how to train convolutional neural networks(CNN) to develop applications for image-based road faults detection and smart garbage separation, followed by implementing voice-initiated smart light control and home access mechanisms powered by recurrent neural networks(RNN). YouOll master IoT applications for indoor localization, predictive maintenance, and locating equipment in a large hospital using autoencoders, DeepFi, and LSTM networks. Furthermore, youOll learn IoT application development for healthcare with IoT security enhanced. By the end of this book, you will have sufficient knowledge need to use deep learning efficiently to power your IoT-based applications for smarter decision making.What you will learnO Get acquainted with different neural network architectures and their suitability in IoTO Understand how deep learning can improve the predictive power in your IoT solutionsO Capture and process streaming data for predictive maintenanceO Select optimal frameworks for image recognition and indoor localizationO Analyze voice data for speech recognition in IoT applicationsO Develop deep learning-based IoT solutions for healthcareO Enhance security in your IoT solutionsO Visualize analyzed data to uncover insights and perform accurate predictionsWho this book is forIf youOre an IoT developer, data scientist, or deep learning enthusiast who wants to apply deep learning techniques to build smart IoT applications, this book is for you. Familiarity with machine learning, a basic understanding of the IoT concepts, and some experience in Python programming will help you get the most out of this book.]]>