Details
| Title | Hands-On Deep Learning for IoT: Train Neural Network Models to Develop Intelligent IoT Applications |
|---|---|
| Creators | Razzaque Mohammad Abdur.; Karim Md. Rezaul |
| Imprint | Birmingham: Packt Publishing, Limited, 2019 |
| Collection | Электронные книги зарубежных издательств; Общая коллекция |
| Subjects | Internet of things.; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1107574315 |
| Record create date | 7/13/2019 |
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| Network | Internet |
Reference; Chapter 2: Deep Learning Architectures for IoT; A soft introduction to ML; Working principle of a learning algorithm; General ML rule of thumb; General issues in ML models; ML tasks; Supervised learning; Unsupervised learning; Reinforcement learning; Learning types with applications; Delving into DL; How did DL take ML to the next level?; Artificial neural networks; ANN and the human brain; A brief history of ANNs; How does an ANN learn?; Training a neural network; Weight and bias initialization; Activation functions; Neural network architectures; Deep neural networks.
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