Deep Learning Construction Vehicle Detecting System

This volume is dedicated to deep learning - a branch of machine learning similar to artificial intelligence. The applications of deep learning vary from medical imaging to industrial quality checking, sports, and precision agriculture.

Deep Learning with Python for Classification, Semantic and Instance Segmentation, Pose Estimation, and Object Detection

Deep Learning with Python for Classification, Semantic and Instance Segmentation, Pose Estimation, and Object Detection

Deep Learning with Python for Classification, Semantic and Instance Segmentation, Pose Estimation, and Object Detection

Deep Learning review, CNNs, VGG-16, Faster R-CNN, TensorFlow Object Detection API, YOLO. Train your own data.

Image Classification for Autonomous Vehicle using Keras : Learn to explore datasets and build, train and test models.

This book collects 14 articles from the Special Issue entitled "Deep Learning Applications with Practical Measured Results in Electronics Industries" of Electronics. Topics covered in this Issue include four main parts: (1) environmental information analyses and predictions, (2) unmanned aerial vehicle (UAV) and object tracking applications, (3) measurement and denoising techniques, and (4) recommendation systems and education systems.