Hands-On Deep Learning for Images with TensorFlow : Build Intelligent Computer Vision Applications Using TensorFlow and Keras.
Chapter 4: A Convolutional Neural Network; Convolutions; Pooling; Building a convolutional neural network; Deep neural network; Summary; Chapter 5: An Image Classification Server; REST API definition; Trained models in Docker containers; Making predictions; Summary; Other Books You May Enjoy; Index.
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Birmingham :
Packt Publishing Ltd,
2018.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Machine Learning Toolkit; Installing Docker; The machine learning Docker file; Sharing data; Machine learning REST service; Summary; Chapter 2: Image Data; MNIST digits; Tensors
- multidimensional arrays; Turning images into tensors; Turning categories into tensors; Summary; Chapter 3: Classical Neural Network; Comparison between classical dense neural networks; Activation and nonlinearity; Softmax; Training and testing data; Dropout and Flatten; Solvers; Hyperparameters; Grid searches.