Object Detection With Deep Learning Construction Vehicle Detection

Intelligent Human Intrusion & Object Detection System using YOLOv7, Python & Computer Vision

Harnessing the Power of AI & ChatGPT for Advanced Cybersecurity Threat Detection

Tracking the Wild: Real-Time Animal Identification Using Deep Learning with Python & Computer Vision

Tracking the Wild: Real-Time Animal Identification Using Deep Learning with Python & Computer Vision

Unlock Business Innovation with Unsupervised Learning: Clustering, Anomaly Detection, Dimensionality Reduction, and

Unlock Business Innovation with Unsupervised Learning: Clustering, Anomaly Detection, Dimensionality Reduction, and

Learn Face Recognition for Face Mask Detection using Python, TensorFlow 2, OpenCV, PyQT, Qt

Harness the Power of Deep Learning to Identify and Analyze Solar Installations from Aerial Imagery

This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the latest developments in deep learning. In particular, it discusses deep learning applications in IDSs in different classes: generative, discriminative, and adversarial networks. Moreover, it compares various deep learning-based IDSs based on benchmarking datasets. The book also proposes two novel feature learning models: deep feature extraction and selection (D-FES) and fully unsupervised IDS. Further challenges and research directions are presented at the end of the book.

OpenCV with Python