Hands-On Deep Learning for IoT : Train Neural Network Models to Develop Intelligent IoT Applications /
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; Delv...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Razzaque, Mohammad Abdur |
Otros Autores: | Karim, Md. Rezaul |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Birmingham :
Packt Publishing, Limited,
2019.
|
Temas: | |
Acceso en línea: | Texto completo |
Ejemplares similares
-
Caffe2 Quick Start Guide : Modular and Scalable Deep Learning Made Easy.
por: Nanjappa, Ashwin
Publicado: (2019) -
Generative AI with Python and TensorFlow 2 : harness the power of generative models to create images, text, and music /
por: Babcock, Joseph
Publicado: (2021) -
Deep Learning for Computer Vision : Expert techniques to train advanced neural networks using TensorFlow and Keras.
por: Shanmugamani, rajalingappaa
Publicado: (2018) -
Deep learning for computer vision : expert techniques to train advanced neural networks using TensorFlow and Keras /
por: Shanmugamani, Rajalingappaa
Publicado: (2018) -
Deep learning for computer vision : expert techniques to train advanced neural networks using TensorFlow and Keras /
por: Shanmugamani, Rajalingappaa
Publicado: (2018)