{"product_id":"computer-vision-using-deep-learning-neural-network-architectures-with-python-and-keras-paperback","title":"Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras - Paperback","description":"\u003cp\u003eby \u003cb\u003eVaibhav Verdhan\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eOrganizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. \u003c\/p\u003e\u003cp\u003eThis book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls. All code snippets will be broken down and discussed thoroughly so you can implement the same principles in your respective environments.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eComputer Vision Using Deep Learning\u003c\/i\u003e offers a comprehensive yet succinct guide that stitches DL and CV together to automate operations, reduce human intervention, increase capability, and cut the costs. \u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExamine deep learning code and concepts to apply guiding principals to your own projects\u003c\/li\u003e\n\u003cli\u003eClassify and evaluate various architectures to better understand your options in various use cases\u003c\/li\u003e\n\u003cli\u003eGo behind the scenes of basic deep learning functions to find out how they work\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eProfessional practitioners working in the fields of software engineering and data science. A working knowledge of Python is strongly recommended. Students and innovators working on advanced degrees in areas related to computer vision and Deep Learning.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eOrganizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. \u003c\/p\u003e\u003cp\u003eThis book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls. All code snippets will be broken down and discussed thoroughly so you can implement the same principles in your respective environments.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eComputer Vision Using Deep Learning\u003c\/i\u003e offers a comprehensive yet succinct guide that stitches DL and CV together to automate operations, reduce human intervention, increase capability, and cut the costs. \u003c\/p\u003e\u003cp\u003eYou will: \u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExamine deep learning code and concepts to apply guiding principles to your own projects\u003c\/li\u003e\n\u003cli\u003eClassify and evaluate various architectures to better understand your options in various use cases\u003c\/li\u003e\n\u003cli\u003eGo behind the scenes of basic deep learning functions to find out how they work\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eVaibhav Verdhan\u003c\/b\u003e is a seasoned data science professional with rich experience spanning across geographies and retail, telecom, manufacturing, health-care and utilities domain. He is a hands-on technical expert and has led multiple engagements in Machine Learning and Artificial Intelligence. He is a leading industry expert, is a regular speaker at conferences and meet-ups and mentors students and professionals. Currently he resides in Ireland and is working as a Principal Data Scientist. \u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 308\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.69 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 15, 2021\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42101541339271,"sku":"9781484266151","price":59.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/7758416fd316fc2d1ab119688fba9b2a.webp?v=1732395093","url":"https:\/\/booksby.splitshops.com\/products\/computer-vision-using-deep-learning-neural-network-architectures-with-python-and-keras-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}