I have made a list of this 10 research paper I believe very student and researcher in area of Artificial Intelligence and Machine learning must have.<\/p>\n
You could learn about how the following is applied: Neural Network, Deep Learning, Convolutional Neural Network, Recurrent Neural Network, Learning algorithms and more<\/p>\n
<\/ins> I also found some really good papers that are not free and I’m trying to reach the authors to see if they could make it available to researchers based on some bargain. I’ll let you know once it’s done.<\/p>\n 1. “Show and Tell: A Neural Image Caption Generator<\/a>“.\u00a0\u00a0<\/b> <\/p>\n 2. “Deep Residual Learning for Image Recognition<\/a>“<\/b> <\/p>\n 3. “A Review of Deep Learning<\/a>“<\/b> <\/p>\n 5. “Improving Quality Inspection of Food Products by Computer Vision<\/a>“<\/b> <\/p>\n 8. “Application of Counterpropagation Networks”<\/a><\/b> <\/p>\n Disclaimer: <\/b>This papers does not belong to me (kindsonthegenius.blogspot.com) but it’s provided by the owners for free. I simply provide links in this website(kindsonthegenius.blogspot.com) to the location of the publications and I bear no responsibility with respects to the use of this publications.<\/p>\n","protected":false},"excerpt":{"rendered":" I have made a list of this 10 research paper I believe very student and researcher in area of Artificial Intelligence and Machine learning must … <\/p>\n","protected":false},"author":2,"featured_media":317,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[11,16],"tags":[],"_links":{"self":[{"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/posts\/20"}],"collection":[{"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/comments?post=20"}],"version-history":[{"count":7,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/posts\/20\/revisions"}],"predecessor-version":[{"id":1777,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/posts\/20\/revisions\/1777"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/media\/317"}],"wp:attachment":[{"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/media?parent=20"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/categories?post=20"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/tags?post=20"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nI have provided the links to download this papers for free:<\/p>\n
\nIn this publication, the authors create a model for image captioning using deep recurrent neural network architecture by applying computer vision and machine translation.
\nDownload this paper<\/a><\/p>\n
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\nThis paper examines the benefits of residual networks which improves accuracy of prediction using increased depth.
\nDownload this paper<\/a><\/p>\n
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\nThis paper is a comprehensive review of Deep Learning as well as application of deep learning is various fields such as image recognition and processing, speech recognition, video and text processing.
\nDownload this paper<\/a><\/p>\n
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\n4. “Computer Vision Based Date Fruit Grading System: Design and Implementation”<\/b>This is a design and implementation research work for a prototype fruit grading system based on computer vision. The system performs feature extraction and then uses a classifier to grade the dates into three pre-defined classes.
\nDownload this paper<\/p>\n
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\nThis Paper describes a system of adopting computer vision approach to the food industry. Image recognition is used to analyse the quality of different categories of food (bread, milk, pizza, chocolate etc) and assign quality ratings to them.
\nDownload this paper<\/a><\/p>\n
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\n6. “Machine Vision System for Food Grain Quality Evaluation: A review”<\/b><\/a>
\nThe research proposes the use of machine vision based systems as a replacement for visual methods of inspection.
\nDownload this paper<\/a><\/p>\n
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\n7. “Fast and Accurate Deep Neural Networks by Exponential Linear Units (ELU)<\/a>“<\/b>
\nThis research paper highlights the adoption of “exponential linear unit” as a means of\u00a0 improving the learning process of deep neural networks. According to the authors, exponential linear units provides better performance than rectified linear unit (RELU) in terms of learning rate and generalization performance.
\nDownload this paper<\/a><\/p>\n
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\nThis introduces a completely novel learning algorithm – counterpropagation as a better alternative the existing algorithms like backpropagation for neural networks.
\nDownload this paper<\/a><\/p>\n
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\n9. “Exploring Strategies for Training Deep Neural Networks<\/a>“<\/b>
\nThe paper focuses on experiments to analyze the performance of various training algorithms as well as relationship between the depth of the network and quality of the model.
\nDownload this paper<\/a><\/p>\n
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\n10. “Deep Speech 2: End-to-End Speech Recognition in English and Mandarin<\/a>“<\/b>
\nThis publication explores a method of recognizing natural language building a Neural Network based model for handling different variation of speech including noise-filtering as well as accent and language variations.
\nDownload this paper<\/a><\/p>\n
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