02692oam 2200613M 450 991071562760332120191121064228.3(CKB)5470000002513791(OCoLC)1065575763(OCoLC)995470000002513791(EXLCZ)99547000000251379120070221d1843 ua 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierIn Senate of the United States. January 9, 1843. Ordered to be printed. -- To accompany Bill H.R. 541. Mr. Graham submitted the following report: The Committee of Claims, to whom was referred the Bill H.R. No. 541, for the relief of Dexter Hungerford, of Watertown, Jefferson County, New York, have considered the same and report ..[Washington, D.C.] :[publisher not identified],1843.1 online resource (2 pages)Senate document / 27th Congress, 3rd session. Senate ;no. 38[United States congressional serial set ] ;[serial no. 414]Title from opening lines of text.Batch processed record: Metadata reviewed, not verified. Some fields updated by batch processes.FDLP item number not assigned.In Senate of the United States. January 9, 1843. Ordered to be printed. -- To accompany Bill H.R. 541. Mr. Graham submitted the following reportAccounts receivableClaimsCollecting of accountsGovernment propertyActions and defensesPromissory notesSuretyship and guarantyFinancial statementsLegislative materials.lcgftAccounts receivable.Claims.Collecting of accounts.Government property.Actions and defenses.Promissory notes.Suretyship and guaranty.Financial statements.Graham William A(William Alexander),1804-1875Whig (NC)1398720WYUWYUOCLCOOCLCQOCLCOOCLCQBOOK9910715627603321In Senate of the United States. January 9, 1843. Ordered to be printed. -- To accompany Bill H.R. 541. Mr. Graham submitted the following report: The Committee of Claims, to whom was referred the Bill H.R. No. 541, for the relief of Dexter Hungerford, of Watertown, Jefferson County, New York, have considered the same and report .3462533UNINA03045nam 22005415 450 991048346820332120251202165401.09781484261682148426168210.1007/978-1-4842-6168-2(CKB)5460000000008571(DE-He213)978-1-4842-6168-2(MiAaPQ)EBC6450882(CaSebORM)9781484261682(PPN)253256461(Perlego)4513700(EXLCZ)99546000000000857120210104d2021 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierConvolutional Neural Networks with Swift for Tensorflow Image Recognition and Dataset Categorization /by Brett Koonce1st ed. 2021.Berkeley, CA :Apress :Imprint: Apress,2021.1 online resource (XXI, 245 p. 1 illus.) 9781484261675 1484261674 Chapter 1: MNIST: 1D Neural Network -- Chapter 2: MNIST: 2D Neural Network -- Chapter 3: CIFAR: 2D Nueral Network with Blocks -- Chapter 4: VGG Network -- Chapter 5: Resnet 34 -- Chapter 6: Resnet 50 -- Chapter 7: SqueezeNet -- Chapter 8: MobileNrt v1 -- Chapter 9: MobileNet v2 -- Chapter 10: Evolutionary Strategies -- Chapter 11: MobileNet v3 -- Chapter 12: Bag of Tricks -- Chapter 13: MNIST Revisited -- Chapter 14: You are Here.Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You’ll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet. Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. You will: Categorize and augment datasets Build and train large networks, including via cloud solutions Deploy complex systems to mobile devices.Apple computerMachine learningApple and iOSMachine LearningApple computer.Machine learning.Apple and iOS.Machine Learning.006.32Koonce Brett1229657MiAaPQMiAaPQMiAaPQBOOK9910483468203321Convolutional neural networks with Swift for Tensorflow2854307UNINA