<\/p>\n
The computer vision and deep learning is an emerging technology all over the world and there is a high demand in the Information Technology industry for developers in this field as various organizations are developing and using computer vision-based applications. Based on applications, the global computer vision market is divided into video mining, surveillance, crowd analysis and forensic science. Artificial Intelligence (AI) technology is growing and spreading day by day, and the implementation of this technology to solve the real-time problems is getting fame. As currently there is fourth industrialist revolution. Therefore, industries have been aiming to go for the solutions, which is powered by AI to help them for the conversion of their manual work into the digital transformation. Moreover, there are many other businesses, especially smaller ones, are unable to get the advantages of AI implementation. There are many benefits of AI in your business decision-making, profit-making, manufacture processes, human resource management etc. Ai has enabled the companies to do a task more efficiently than a conventional method. The Ai based tools and technologies enable the business to achieve more output with less resource and good efficiency and accuracy. The technology has been advanced into various industries and transformed them completely. Many industries are leveraging the benefits of Artificial Intelligence. Let us have a look at some industries, which are completely transformed by the intelligent systems.<\/p>\r\n \r\n <\/div>\r\n <\/div>
Module 1: Introduction to Computer Vision<\/p>
Module 2: Image Enhancement and Filtering<\/p>
Module 3: Image Segmentation and Edge Detection<\/p>
Module 4: Image Restoration and Image Filtering<\/p>
Module 5: Morphology and Applications<\/p>
Module 6: Feature Extraction<\/p>
Module 7: Time Domain Feature Extraction and Color Image Processing<\/p>
Module 8: Introduction to Deep Learning<\/p>
Module 9: Convolutional Neural Network<\/p>
Module 10: 3D Convolutional Neural Network<\/p>
Module 11: Recurrent Neural Network<\/p>
Module 12: Generative Adversarial Networks<\/p>
Module 13: Reinforcement Learning<\/p>\r\n \r\n <\/div>\r\n <\/div>
Class Days: Monday - Friday<\/p>
Class Timings: 04:00PM - 09:00PM<\/p>\r\n \r\n <\/div>\r\n <\/div> <\/div> <\/div>\r\n <\/div>\n","protected":false},"excerpt":{"rendered":"
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