標(biāo)題: Titlebook: Deep Learning on Windows; Building Deep Learni Thimira Amaratunga Book 2021 Thimira Amaratunga 2021 Deep Learning.Artificial Intelligence.A [打印本頁(yè)] 作者: Sparkle 時(shí)間: 2025-3-21 19:43
書(shū)目名稱Deep Learning on Windows影響因子(影響力)
書(shū)目名稱Deep Learning on Windows影響因子(影響力)學(xué)科排名
書(shū)目名稱Deep Learning on Windows網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Deep Learning on Windows網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Deep Learning on Windows被引頻次
書(shū)目名稱Deep Learning on Windows被引頻次學(xué)科排名
書(shū)目名稱Deep Learning on Windows年度引用
書(shū)目名稱Deep Learning on Windows年度引用學(xué)科排名
書(shū)目名稱Deep Learning on Windows讀者反饋
書(shū)目名稱Deep Learning on Windows讀者反饋學(xué)科排名
作者: JIBE 時(shí)間: 2025-3-21 22:09
http://image.papertrans.cn/d/image/264630.jpg作者: 畫(huà)布 時(shí)間: 2025-3-22 00:32
https://doi.org/10.1007/978-1-4842-6431-7Deep Learning; Artificial Intelligence; AI; TensorFlow; Windows; Keras; OpenCV作者: 帶來(lái)墨水 時(shí)間: 2025-3-22 05:04 作者: 跳脫衣舞的人 時(shí)間: 2025-3-22 10:42
https://doi.org/10.1007/978-94-010-1831-9We live in the era of artificial intelligence (AI).作者: Working-Memory 時(shí)間: 2025-3-22 16:34 作者: Working-Memory 時(shí)間: 2025-3-22 17:35
https://doi.org/10.1007/978-94-017-1233-0We are now ready to start building our first deep learning model.作者: 角斗士 時(shí)間: 2025-3-23 01:07
https://doi.org/10.1007/978-94-017-1233-0Running our first deep learning model gave us a small glimpse of what deep learning can do. There are many exciting projects we can build with deep learning.作者: Hormones 時(shí)間: 2025-3-23 04:40
Conclusions and Practical ImplicationsAs you have probably learned by now, training deep learning models can take long times: hours and maybe days, based on how complex the model and how large your dataset.作者: Conspiracy 時(shí)間: 2025-3-23 08:14
Determinants of SME Loan ContractsOver the past several chapters, we have talked about some techniques to optimize the training of a model. We went through the steps of starting with a small dataset to get results that can be applied in practical scenarios.作者: 勤勞 時(shí)間: 2025-3-23 10:20 作者: Deference 時(shí)間: 2025-3-23 14:13
Almas Heshmati,Masoomeh RashidghalamIn Chapter 1, we briefly touched upon the concept of reinforcement learning. As we discussed there, reinforcement learning is one of the methods in which machine learning models are trained.作者: 富饒 時(shí)間: 2025-3-23 20:48
What Is Deep Learning?,We live in the era of artificial intelligence (AI).作者: 條約 時(shí)間: 2025-3-23 23:31
Setting Up Your Tools,Now that we know what we need to get started, let us begin setting up our tools.作者: 不如屎殼郎 時(shí)間: 2025-3-24 03:43
Building Your First Deep Learning Model,We are now ready to start building our first deep learning model.作者: AMEND 時(shí)間: 2025-3-24 10:25 作者: 使迷惑 時(shí)間: 2025-3-24 13:51
Starting, Stopping, and Resuming Learning,As you have probably learned by now, training deep learning models can take long times: hours and maybe days, based on how complex the model and how large your dataset.作者: FLIP 時(shí)間: 2025-3-24 14:53
Deploying Your Model as a Web Application,Over the past several chapters, we have talked about some techniques to optimize the training of a model. We went through the steps of starting with a small dataset to get results that can be applied in practical scenarios.作者: Gullible 時(shí)間: 2025-3-24 22:10
Introduction to Generative Adversarial Networks,Can an AI be creative—can it learn to create art, for example? The traditional answer was no. But lately we are not so sure. Recently, thanks to deep learning, the definition of creativity has been become blurred.作者: 諄諄教誨 時(shí)間: 2025-3-25 01:13 作者: 察覺(jué) 時(shí)間: 2025-3-25 05:21 作者: 緊張過(guò)度 時(shí)間: 2025-3-25 11:20
https://doi.org/10.1007/978-94-017-1233-0and Fashion-MNIST datasets was able to achieve 90%–99% accuracy under a very reasonable amount of training time. We have also seen how the ImageNet models have achieved record-breaking accuracy levels in more complex datasets.作者: rheumatology 時(shí)間: 2025-3-25 12:31
https://doi.org/10.1007/978-3-319-25837-9els: deep learning image classification models, from handwritten digit classification to bird identification. In Chapter 3, when we set up our deep learning development environment, we installed several utility libraries that aids in computer vision and image processing tasks.作者: 方舟 時(shí)間: 2025-3-25 19:14
https://doi.org/10.1007/978-94-017-1233-0 is better if we can see the structure. Especially when we are tweaking or modifying the model, we can easily compare their structures. And when working with more complex models (which we will look at in the next chapter), it is easier to wrap your head around them if you can see their structure vis作者: 流出 時(shí)間: 2025-3-25 21:39 作者: brachial-plexus 時(shí)間: 2025-3-26 00:46
https://doi.org/10.1007/978-3-319-25837-9els: deep learning image classification models, from handwritten digit classification to bird identification. In Chapter 3, when we set up our deep learning development environment, we installed several utility libraries that aids in computer vision and image processing tasks.作者: 動(dòng)脈 時(shí)間: 2025-3-26 06:23
Visualizing Models, is better if we can see the structure. Especially when we are tweaking or modifying the model, we can easily compare their structures. And when working with more complex models (which we will look at in the next chapter), it is easier to wrap your head around them if you can see their structure visually.作者: 初學(xué)者 時(shí)間: 2025-3-26 08:52 作者: Diastole 時(shí)間: 2025-3-26 16:02
Having Fun with Computer Vision,els: deep learning image classification models, from handwritten digit classification to bird identification. In Chapter 3, when we set up our deep learning development environment, we installed several utility libraries that aids in computer vision and image processing tasks.作者: 縱火 時(shí)間: 2025-3-26 20:10
indows.Contains real-time deep learning object identificatio.Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows.?The book starts with an introduction to tools for deep learning and computer vis作者: addict 時(shí)間: 2025-3-26 23:39
Book 2021 Windows.?The book starts with an introduction to tools for deep learning and computer vision tasks followed by instructions to install, configure, and troubleshoot them. Here, you will learn how Python can help you build deep learning models on Windows.?.Moving forward, you will build a deep learni作者: Melatonin 時(shí)間: 2025-3-27 01:30
Visualizing Models, is better if we can see the structure. Especially when we are tweaking or modifying the model, we can easily compare their structures. And when working with more complex models (which we will look at in the next chapter), it is easier to wrap your head around them if you can see their structure vis作者: Extort 時(shí)間: 2025-3-27 06:33 作者: 我要沮喪 時(shí)間: 2025-3-27 13:15 作者: 可轉(zhuǎn)變 時(shí)間: 2025-3-27 17:36 作者: antidote 時(shí)間: 2025-3-27 18:17 作者: 臥虎藏龍 時(shí)間: 2025-3-28 01:40
Particle Swarm Optimisation Method for Texture Image Retrieval, texture image retrieval system are immense retrieval precision and reduced computational complication. Several efficient methods for texture feature extraction and similarity measure methods exist. Objective of the present chapter is to propose efficient texture feature extraction algorithms which 作者: Debate 時(shí)間: 2025-3-28 04:48
Guidelines on the Contracted Schr?dinger Equation Methodology it. Therefore, the accent is put on giving a clear outlook of the two methods which are now being sucessfully applied: The iterative solution of the second-order CSE and the variational and also iterative solution of the second-order hypervirial equation which can be identified with the continuity 作者: 多嘴 時(shí)間: 2025-3-28 08:32 作者: PANEL 時(shí)間: 2025-3-28 13:44
The Security Order in the Persian Gulf and Its Challenges such as Iran-Iraq war (1980–1988), the invasion of Kuwait by Iraq in 1991 unfolding into a war, and the invasion of Iraq by the USA in 2003 have challenged the security policies and the engagement of the Western actors such as Britain and the USA with the countries in this international waterway. T作者: conscience 時(shí)間: 2025-3-28 16:54 作者: 可用 時(shí)間: 2025-3-28 20:34 作者: 貪婪地吃 時(shí)間: 2025-3-29 02:00
,Perspektiven für Pr?vention und Forschung,logies shall be grouped according to outlet requirements and inlet pollution load, pointing out the main advantages and disadvantages of each technology. This paper will summarize WEHRLE’s 25 years of experience in treating leachate in Europe, Asia and North Africa.作者: Glutinous 時(shí)間: 2025-3-29 05:22 作者: convert 時(shí)間: 2025-3-29 07:14 作者: originality 時(shí)間: 2025-3-29 13:30
Shazia Sadiq,Claude Godart,Michael zur Muehlen fully illustrated by original watercolor drawings or photographs.?.Discussion of the families is grounded on recent botanical phylogenetic treatments, which is based on common ancestry (monophyly). Of course, phylogenetic taxonomy is not a new concept, and was originally based on morphological char作者: Entrancing 時(shí)間: 2025-3-29 15:51
e covered two important aspects of science in general and physics in particular: first to provide to the participants from developing countries some of the excitement of what is happening at the frontiers of physics; secondly as the name of the college emphasises it was to encourage the physicists from develo978-1-4684-3347-0978-1-4684-3345-6作者: Emasculate 時(shí)間: 2025-3-29 21:40 作者: Compatriot 時(shí)間: 2025-3-30 01:43 作者: Militia 時(shí)間: 2025-3-30 04:39
Die Wirksamkeit des Koch‘schen Heilmittels gegen TuberkuloseErg?nzungsband
