Deep Learning in Object Recognition, Detection, And Segmentation

Dive into the advanced concepts of OpenCV and Machine learning for techniques to detect and decode images in OpenCV.

Video Instance Segmentation for Computer Vision with Python. Train, Test, Deploy Deep Learning Models YOLOv8, Mask RCNN

Work On 23 Projects in Machine Learning & Deep Learning, Regression, Classification, Clustering, ANN, CNN, RNN, & More!

Build, train & deploy models using the speed & efficiency of Caffe 2 & get future-ready in the world of deep learning

This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous practical examples to complement the theory.