標(biāo)題: Titlebook: Neural Networks in Unity; C# Programming for W Abhishek Nandy,Manisha Biswas Book 2018 Abhishek Nandy, Manisha Biswas 2018 Unity.Artificial [打印本頁] 作者: Hermit 時(shí)間: 2025-3-21 18:31
書目名稱Neural Networks in Unity影響因子(影響力)
書目名稱Neural Networks in Unity影響因子(影響力)學(xué)科排名
書目名稱Neural Networks in Unity網(wǎng)絡(luò)公開度
書目名稱Neural Networks in Unity網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Networks in Unity被引頻次
書目名稱Neural Networks in Unity被引頻次學(xué)科排名
書目名稱Neural Networks in Unity年度引用
書目名稱Neural Networks in Unity年度引用學(xué)科排名
書目名稱Neural Networks in Unity讀者反饋
書目名稱Neural Networks in Unity讀者反饋學(xué)科排名
作者: 比喻好 時(shí)間: 2025-3-21 23:03 作者: 發(fā)牢騷 時(shí)間: 2025-3-22 00:48 作者: 枯萎將要 時(shí)間: 2025-3-22 08:12 作者: diskitis 時(shí)間: 2025-3-22 10:50
Abhishek Nandy,Manisha Biswashighly resolved .Si NMR spectra of microcrystalline or amorphous solids. In proton containing samples, line broadening due to dipolar .Si-.H interactions can be removed by high power proton decoupling, and cross-polarization (CP) may be used for signal enhancement and the detection of protons in clo作者: 方舟 時(shí)間: 2025-3-22 16:32 作者: parallelism 時(shí)間: 2025-3-22 20:30
Abhishek Nandy,Manisha Biswasecules is presented. It is shown that the side-group motion in glassy poly(methyl methacrylate) is a rather complex process involving a coupling to a rocking motion of the main chain. Finally it is demonstrated that 2D exchange NMR can also be applied to determine the orientational distribution func作者: Insatiable 時(shí)間: 2025-3-23 01:02
Abhishek Nandy,Manisha Biswasctrum, through judicious control of time-dependent radiofrequency (..) fields and/or manipulation of sample orientation with respect to a large static field (..). In low-viscosity liquids, fast isotropic molecular motion averages all anisotropic interactions, so that narrow line widths are readily o作者: Alveolar-Bone 時(shí)間: 2025-3-23 03:38
ctrum, through judicious control of time-dependent radiofrequency (..) fields and/or manipulation of sample orientation with respect to a large static field (..). In low-viscosity liquids, fast isotropic molecular motion averages all anisotropic interactions, so that narrow line widths are readily o作者: 鋸齒狀 時(shí)間: 2025-3-23 08:51 作者: 欲望 時(shí)間: 2025-3-23 13:45 作者: 清醒 時(shí)間: 2025-3-23 17:37 作者: 無所不知 時(shí)間: 2025-3-23 19:50 作者: 羅盤 時(shí)間: 2025-3-23 22:50
Abhishek Nandy,Manisha Biswass in solution, has successfully been applied to solid synthetic polymers. This review introduces the methodology of 2D exchange NMR in solids and illustrates its power by a number of experimental examples. Structural aspects include the packing of amorphous and frozen liquid-crystalline polymers as 作者: 相反放置 時(shí)間: 2025-3-24 06:16
Abhishek Nandy,Manisha Biswass the freedom to manipulate independently both spin and spatial components of the nuclear spin interaction tensors. This imparts enormous flexibility and selectivity to the type of structural and dynamical information that can be obtained about a chemical system at a molecular level. Depending on th作者: 使堅(jiān)硬 時(shí)間: 2025-3-24 10:04 作者: 厭惡 時(shí)間: 2025-3-24 13:14 作者: lipoatrophy 時(shí)間: 2025-3-24 18:34
Book 2018rt by exploring back propagation and unsupervised neural networks with Unity and C#. You’ll then move onto activation functions, such as sigmoid functions, step functions, and so on. The author also explains all the variations of neural networks such as feed forward, recurrent, and radial..Once you’作者: 他姓手中拿著 時(shí)間: 2025-3-24 19:49 作者: gerrymander 時(shí)間: 2025-3-25 02:37 作者: 觀察 時(shí)間: 2025-3-25 05:20
https://doi.org/10.1007/978-1-4842-3673-4Unity; Artificial intelligence; Neural Networks; Back Propogation; C#; Conventional Neural Networks作者: Extemporize 時(shí)間: 2025-3-25 09:28
Abhishek Nandy,Manisha BiswasA great way to learn neural networks for the beginner.Covers back propagation and unsupervised neural networks with Unity C#.Introduces different types of neural networks in Unity作者: vocation 時(shí)間: 2025-3-25 13:09
Neural Network Basics,The evolvement of artificial intelligence, machine learning, and deep learning has made so many people start asking questions about what exactly the process of machine learning actually is?作者: 糾纏,纏繞 時(shí)間: 2025-3-25 19:10
Unity ML-Agents,In this chapter, we will study how Unity ML-Agents work. First, we will start with a brief description of Unity IDE and then we will look at this feature from Unity. We will check on some demos and then create one simulation of our own. We will see how the agents are trained using Python.作者: vascular 時(shí)間: 2025-3-25 23:41 作者: Recessive 時(shí)間: 2025-3-26 00:24 作者: lactic 時(shí)間: 2025-3-26 05:51
Data Visualization in Unity,In this final chapter, we will touch base on how data visualization is implemented in Unity. We conclude the book by visualizing CSV (comma-separated values) data for a good look and feel.作者: extinct 時(shí)間: 2025-3-26 08:32
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