Practical Computer Vision Applications Using Deep Learning with CNNs
Practical Computer Vision Applications Using Deep Learning with CNNs Deploy deep learning applications into production across multiple platforms. This book starts by explaining the traditional…
Specifikacia Practical Computer Vision Applications Using Deep Learning with CNNs
Practical Computer Vision Applications Using Deep Learning with CNNs
Deploy deep learning applications into production across multiple platforms. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python.
CNNs are discussed from scratch to demonstrate how they are different and more efficient than the fully connected ANN (FCNN). Along the way you will cover artificial neural networks (ANNs), building one from scratch in Python, before optimizing it using genetic algorithms.For automating the process, the book highlights the limitations of traditional hand-crafted features for computer vision and why the CNN deep-learning model is the state-of-art solution. You will implement a CNN in Python to give you a full understanding of the model.After consolidating the