Hands-On Deep Learning for IoT: Train neural network models to develop intelligent IoT applications
Mohammad Abdur Razzaque, Md. Rezaul Karim
Informasi Umum
Kode
21.21.2944
Klasifikasi
621.382 - Communication Engineering, signal processing, network protocol, signal processing, communication network analysis
Jenis
Buku - Elektronik (E-Book)
Subjek
Network
No. Rak
Tel-U Gedung Manterawu Lantai 5 : Rak 12b
Tel-U Gedung Manterawu Lantai 5 : Rak 13a
Tel-U Purwokerto : Rak 6
Dilihat
170 kali
Informasi Lainnya
Abstraksi
This book will provide you with a thorough overview of a class of advanced machine learning techniques called deep learning (DL), to facilitate the analytics and learning in various IoT applications. A hands-on overview will take you through what each process is, from data collection, analysis, modeling, and a model's performance evaluation, to various IoT application and deployment settings.
You’ll learn how to train convolutional neural networks (CNN) for developing 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).
This book is intended for anyone who wants to use DL techniques to analyze and understand IoT generated big and real-time data streams with the power of TensorFlow, Keras, and Chainer. If you want to build your own extensive IoT applications that work, and that can predict smart decisions in the future, then this book is what you need! Hence, this book is dedicated to IoT application developers, data analysts, or DL enthusiasts who do not have much background in complex numerical computations, but who want to know what DL actually is.
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | Mohammad Abdur Razzaque, Md. Rezaul Karim |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Packt |
| Kota | Birmingham |
| Tahun | 2019 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
