Raghavsurya74

it is the first part of document set, the most asked questions in Big data computation for class assessment level examinations in colleges and universities are gathered here.

what will students learn from this document : introduction to the computer vision. introduction to deep learning models and their applications to computer vision. to apply deep learning techniques to various computer vision applications. understand and master the basic knowledge, theories and methods in image processing and computer vision.

a clear and precise notes regarding the Convolutional Neural Network and its architecture and evolution including all the types of changes made to architecture and advantages and disadvantages of each architecture type of CNN.

the document covers the important topics of the amazon web services along with their definition to their working and advantages. a quick and easily understandable notes for your exams. all in one place.

computer vision and deep learning topics which cover the mostly the visual features and representation parts and methods with brief explanation and examples. feature extraction and image processing concept.