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I have presented this paper and approved professor shiShang for me at Beijing institute of tecknology
HABIB FIGA GUYE {BULE HORA UNIVERSITY}(habibifiga@gmail.com
HABIB FIGA GUYE {BULE HORA UNIVERSITY}(habibifiga@gmail.com
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Course Title: CS591-Advance Artificial Intelligence StudentName: Namratha Valle, Malemarpuram Chaitanya sai, Sasidhar Reddy Vajrala, Nagendra Mokara SEMOID#S02023694 StudentEmail: [email protected] Date:04/20/2021 Violations of academic honesty represent a serious breach of discipline and may be considered grounds for disciplinary action, including dismissal from the University. The University requires that all assignments submitted to faculty members by students be the work of the individual student submitting the work. An exception would be group projects assigned by the instructor. (Source: SEMO website) Advanced Artificial Intelligence Assignment Graduate project level 2 Abstract Artificial Intelligence (AI) is a crucial technical technology that is commonly used in today's society. Deep Learning, in particular, has a variety of uses due to its ability to learn robust representations from images. A Convolutional Neural Network (CNN) is a Deep Learning algorithm which commands the input image, assigns significance to numerous aspects/objects in the image, and can distinguish between them. For image classification, CNN is the most popular Deep Learning architecture. To get better results, we used various automated processing tasks for fruit and vegetable images. In comparison to other classification deep learning algorithms, the amount of pre-processing needed by a CNN model is much lower. Furthermore, the learning capabilities of Deep Learning architectures can be used to improve sound classification in order to solve efficiency problems. CNN is used in this project, and layers are created to classify the sound waves into their various categories. Introduction We humans enjoy analyzing items, and everything you can think of can be classified into a classification or class. It is an everyday issue in business; analysis of parts, installations, gatherings, and products are necessary for the daily routine. This is the reason why people have devised procedures such as Machine Learning (ML), Neural Networks (NN), and Deep Learning (DL), among other calculations, to automate the arrangement period. Deep learning will be one of them that we will explore. Deep learning is an artificial intelligence (AI) function that simulates how the human brain processes data and creates patterns to make decisions. The classification of photographs of fruits and vegetables with the naked eye is very difficult. As a result, we're using pyTorch to process image datasets with Deep Learning. We're developing a CNN model for image detection and categorization using these datasets. A custom CNN is introduced and then compared to a ResNet CNN for the purposes of this study. The oth ...
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This is the Bangla Handwritten Digit Recognition Report. you can see this report for your helping hand. **Bengali is the world's fifth most spoken language, with 265 million native and non-native speakers accounting for 4% of the global population. **Despite the large number of Bengali speakers, very little research has been conducted on Bangali handwritten digit recognition. **The application of the BHwDR system is wide from postal code digit recognition to license plate recognition, digit recognition in cheques in the banking system to exam paper registration number recognition.
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Course Title CS591-Advance Artificial Intelligence
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Bangla Handwritten Digit Recognition Report.pdf
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S1140173
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1140173 Masayuki Nemoto
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